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scene0138_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 67.1 | {
"A": "121°",
"B": "112°",
"C": "115°",
"D": "125°",
"E": "108°"
} | A | -105.83° | 4 | indoor |
|
scene0139_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 45.1 | {
"A": "63°",
"B": "77°",
"C": "58°",
"D": "68°",
"E": "73°"
} | E | -73.14° | 0 | indoor |
|
scene0139_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | What is the 3D bounding box in camera coordinates for the white wall-mounted soap dispenser with a gray button from a single randomly selected frame? (unit: m, m/s, m/s², °) | Object description: White wall-mounted soap dispenser with a gray button. | 41 | 41 | {
"A": "{\"C_lwh\": [0.26, 0.12, 0.29], \"C_central_point\": [3.90, 1.00, 1.49], \"C_heading\": 176.25}",
"B": "{\"C_lwh\": [0.26, 0.12, 0.29], \"C_central_point\": [3.90, 0.99, 1.48], \"C_heading\": 176.23}",
"C": "{\"C_lwh\": [0.26, 0.12, 0.29], \"C_central_point\": [3.92, 1.01, 1.50], \"C_heading\": 176.26}",
"D": "{\"C_lwh\": [0.26, 0.12, 0.29], \"C_central_point\": [3.92, 1.01, 1.50], \"C_heading\": 176.24}",
"E": "{\"C_lwh\": [0.26, 0.12, 0.29], \"C_central_point\": [3.93, 1.02, 1.51], \"C_heading\": 176.23}"
} | B | {"C_lwh": [0.26, 0.12, 0.29], "C_central_point": [3.9, -0.99, 1.48], "C_heading": -176.23} | 1 | indoor |
scene0139_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | What are the 3D bounding box parameters in camera coordinates for the red detergent bottle with a blue cap on a white surface in a randomly selected frame? (unit: m, m/s, m/s², °) | Object description: Red detergent bottle with blue cap on white surface. | 15.4 | 15.4 | {
"A": "{\"C_lwh\": [0.22, 0.15, 0.30], \"C_central_point\": [0.52, 1.23, 2.38], \"C_heading\": 146.27}",
"B": "{\"C_lwh\": [0.21, 0.15, 0.29], \"C_central_point\": [0.51, 1.22, 2.37], \"C_heading\": 146.24}",
"C": "{\"C_lwh\": [0.20, 0.14, 0.28], \"C_central_point\": [0.50, 1.21, 2.36], \"C_heading\": 146.21}",
"D": "{\"C_lwh\": [0.22, 0.16, 0.30], \"C_central_point\": [0.52, 1.23, 2.38], \"C_heading\": 146.23}",
"E": "{\"C_lwh\": [0.23, 0.16, 0.31], \"C_central_point\": [0.53, 1.24, 2.39], \"C_heading\": 146.26}"
} | C | {"C_lwh": [0.2, 0.14, 0.28], "C_central_point": [0.5, -1.21, 2.36], "C_heading": 146.21} | 2 | indoor |
scene0139_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most likely displacement (straight-line distance) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 45.1 | {
"A": "0.64 m",
"B": "0.55 m",
"C": "0.48 m",
"D": "0.25 m",
"E": "0.71 m"
} | C | 0.48m | 3 | indoor |
|
scene0140_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | What is the 3D bounding box in camera coordinates for the black cushioned office chair with a tan back in the conference room from a single randomly selected frame? (unit: m, m/s, m/s², °) | Object description: Black cushioned office chairs with tan backs in conference room. | 32.1 | 32.1 | {
"A": "{\"C_lwh\": [0.70, 0.91, 1.14], \"C_central_point\": [0.47, 1.56, 1.06], \"C_heading\": 6.53}",
"B": "{\"C_lwh\": [0.61, 0.82, 1.04], \"C_central_point\": [0.37, 1.47, 0.98], \"C_heading\": 6.55}",
"C": "{\"C_lwh\": [0.58, 0.77, 0.98], \"C_central_point\": [0.34, 1.44, 0.95], \"C_heading\": 6.60}",
"D": "{\"C_lwh\": [0.63, 0.83, 1.06], \"C_central_point\": [0.39, 1.49, 1.00], \"C_heading\": 6.52}",
"E": "{\"C_lwh\": [0.67, 0.88, 1.10], \"C_central_point\": [0.45, 1.55, 1.04], \"C_heading\": 6.51}"
} | C | {"C_lwh": [0.58, 0.77, 0.98], "C_central_point": [0.34, 1.44, -0.95], "C_heading": -6.6} | 0 | indoor |
scene0140_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | What are the 3D bounding box parameters in camera coordinates for the beige office chair with black seat on a carpeted floor from a randomly selected frame? (unit: m, m/s, m/s², °) | Object description: Beige office chair with black seat on carpeted floor. | 85.6 | 85.6 | {
"A": "C_lwh: [0.72, 0.62, 1.02], C_central_point: [0.72, 2.88, 3.62], C_heading: 14.80",
"B": "C_lwh: [0.80, 0.70, 1.10], C_central_point: [0.80, 2.96, 3.70], C_heading: 14.93",
"C": "C_lwh: [0.84, 0.74, 1.15], C_central_point: [0.84, 3.00, 3.75], C_heading: 14.89",
"D": "C_lwh: [0.88, 0.78, 1.18], C_central_point: [0.88, 3.04, 3.78], C_heading: 14.96",
"E": "C_lwh: [0.75, 0.65, 1.05], C_central_point: [0.75, 2.91, 3.65], C_heading: 14.86"
} | A | {"C_lwh": [0.72, 0.62, 1.02], "C_central_point": [0.72, 2.88, -3.62], "C_heading": -14.8} | 1 | indoor |
scene0140_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 143.1 | {
"A": "7°",
"B": "14°",
"C": "0°",
"D": "4°",
"E": "10°"
} | C | -0.94° | 2 | indoor |
|
scene0140_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 3.1, "ty": 2.43, "tz": 1.51, "r11": -0.17, "r12": -0.07, "r13": 0.98, "r21": -0.98, "r22": -0.02, "r23": -0.17, "r31": 0.04, "r32": -1.0, "r33": -0.06}, estimate and select the most likely camera pose in 3D space using only the RGB video to match the ground truth for the specific frame. (unit: m, m/s, m/s², °) | 135 | 135 | {
"A": "{\"tx\": 6.47, \"ty\": 7.74, \"tz\": 6.44, \"r11\": -0.31, \"r12\": 0.24, \"r13\": -0.92, \"r21\": 0.95, \"r22\": 0.16, \"r23\": -0.28, \"r31\": 0.08, \"r32\": -0.96, \"r33\": -0.28}",
"B": "{\"tx\": 2.47, \"ty\": 3.74, \"tz\": 1.44, \"r11\": -0.31, \"r12\": 0.24, \"r13\": -0.92, \"r21\": 0.95, \"r22\": 0.16, \"r23\": -0.28, \"r31\": 0.08, \"r32\": -0.96, \"r33\": -0.28}",
"C": "{\"tx\": 1.47, \"ty\": 2.74, \"tz\": 0.44, \"r11\": -0.31, \"r12\": 0.24, \"r13\": -0.92, \"r21\": 0.95, \"r22\": 0.16, \"r23\": -0.28, \"r31\": 0.08, \"r32\": -0.96, \"r33\": -0.28}",
"D": "{\"tx\": 4.47, \"ty\": 5.74, \"tz\": 4.44, \"r11\": -0.31, \"r12\": 0.24, \"r13\": -0.92, \"r21\": 0.95, \"r22\": 0.16, \"r23\": -0.28, \"r31\": 0.08, \"r32\": -0.96, \"r33\": -0.28}",
"E": "{\"tx\": 0.47, \"ty\": 1.74, \"tz\": -0.56, \"r11\": -0.31, \"r12\": 0.24, \"r13\": -0.92, \"r21\": 0.95, \"r22\": 0.16, \"r23\": -0.28, \"r31\": 0.08, \"r32\": -0.96, \"r33\": -0.28}"
} | B | {"tx": 2.47, "ty": 3.74, "tz": 1.44, "r11": -0.31, "r12": 0.24, "r13": -0.92, "r21": 0.95, "r22": 0.16, "r23": -0.28, "r31": 0.08, "r32": -0.96, "r33": -0.28} | 3 | indoor |
|
scene0140_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | Given the movement of a camera capturing a three-dimensional object with dimensions (2.0m, 1.0m, 0.5m), what is the most likely displacement (straight-line distance) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 143.1 | {
"A": "0.69m",
"B": "0.64m",
"C": "0.57m",
"D": "0.42m",
"E": "0.50m"
} | C | 0.57m | 4 | indoor |
|
scene0140_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most appropriate trajectory length (total distance traveled) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 143.1 | {
"A": "52.83m",
"B": "53.25m",
"C": "53.51m",
"D": "53.04m",
"E": "53.87m"
} | B | 53.25m | 5 | indoor |
|
scene0140_00.mp4 | ScanNet | Speed & Acceleration | Single Choice | What is the most appropriate average speed of the camera over the specified time interval, considering the speed is negligible if less than 0.05 m/s? (unit: m, m/s, m/s², °) | 7.8 | 9.1 | {
"A": "0.0 m/s",
"B": "0.15 m/s",
"C": "0.19 m/s",
"D": "0.26 m/s",
"E": "0.34 m/s"
} | C | 0.19m/s | 6 | indoor |
|
scene0141_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 2.94, "ty": 2.44, "tz": 1.53, "r11": 0.87, "r12": -0.25, "r13": 0.43, "r21": -0.5, "r22": -0.4, "r23": 0.77, "r31": -0.01, "r32": -0.88, "r33": -0.47}, estimate and select the most likely camera pose for the specific frame in 3D space that matches the ground truth. (unit: m, m/s, m/s², °) | 8 | 8 | {
"A": "{\"tx\": 13.8, \"ty\": 12.38, \"tz\": 11.76, \"r11\": -0.45, \"r12\": -0.05, \"r13\": -0.89, \"r21\": 0.86, \"r22\": 0.24, \"r23\": -0.45, \"r31\": 0.24, \"r32\": -0.97, \"r33\": -0.06}",
"B": "{\"tx\": 1.8, \"ty\": 2.38, \"tz\": 0.76, \"r11\": -0.45, \"r12\": -0.05, \"r13\": -0.89, \"r21\": 0.86, \"r22\": 0.24, \"r23\": -0.45, \"r31\": 0.24, \"r32\": -0.97, \"r33\": -0.06}",
"C": "{\"tx\": 5.8, \"ty\": 4.38, \"tz\": 3.76, \"r11\": -0.45, \"r12\": -0.05, \"r13\": -0.89, \"r21\": 0.86, \"r22\": 0.24, \"r23\": -0.45, \"r31\": 0.24, \"r32\": -0.97, \"r33\": -0.06}",
"D": "{\"tx\": 3.8, \"ty\": 2.38, \"tz\": 1.76, \"r11\": -0.45, \"r12\": -0.05, \"r13\": -0.89, \"r21\": 0.86, \"r22\": 0.24, \"r23\": -0.45, \"r31\": 0.24, \"r32\": -0.97, \"r33\": -0.06}",
"E": "{\"tx\": 8.8, \"ty\": 7.38, \"tz\": 6.76, \"r11\": -0.45, \"r12\": -0.05, \"r13\": -0.89, \"r21\": 0.86, \"r22\": 0.24, \"r23\": -0.45, \"r31\": 0.24, \"r32\": -0.97, \"r33\": -0.06}"
} | D | {"tx": 3.8, "ty": 2.38, "tz": 1.76, "r11": -0.45, "r12": -0.05, "r13": -0.89, "r21": 0.86, "r22": 0.24, "r23": -0.45, "r31": 0.24, "r32": -0.97, "r33": -0.06} | 0 | indoor |
|
scene0141_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 2.94, "ty": 2.44, "tz": 1.53, "r11": 0.87, "r12": -0.25, "r13": 0.43, "r21": -0.5, "r22": -0.4, "r23": 0.77, "r31": -0.01, "r32": -0.88, "r33": -0.47}, estimate and select the most likely camera pose in 3D space using only the RGB video to match the ground truth. (unit: m, m/s, m/s², °) | 15 | 15 | {
"A": "{\"tx\": 3.85, \"ty\": 5.04, \"tz\": 1.56, \"r11\": -0.14, \"r12\": -0.34, \"r13\": 0.93, \"r21\": -0.99, \"r22\": 0.06, \"r23\": -0.13, \"r31\": -0.01, \"r32\": -0.94, \"r33\": -0.34}",
"B": "{\"tx\": 3.85, \"ty\": 3.04, \"tz\": 1.56, \"r11\": -0.14, \"r12\": -0.34, \"r13\": 0.93, \"r21\": -0.99, \"r22\": 0.06, \"r23\": -0.13, \"r31\": -0.01, \"r32\": -0.94, \"r33\": -0.34}",
"C": "{\"tx\": 1.85, \"ty\": 3.04, \"tz\": 3.56, \"r11\": -0.14, \"r12\": -0.34, \"r13\": 0.93, \"r21\": -0.99, \"r22\": 0.06, \"r23\": -0.13, \"r31\": -0.01, \"r32\": -0.94, \"r33\": -0.34}",
"D": "{\"tx\": 5.85, \"ty\": 5.04, \"tz\": 3.56, \"r11\": -0.14, \"r12\": -0.34, \"r13\": 0.93, \"r21\": -0.99, \"r22\": 0.06, \"r23\": -0.13, \"r31\": -0.01, \"r32\": -0.94, \"r33\": -0.34}",
"E": "{\"tx\": 5.85, \"ty\": 3.04, \"tz\": 3.56, \"r11\": -0.14, \"r12\": -0.34, \"r13\": 0.93, \"r21\": -0.99, \"r22\": 0.06, \"r23\": -0.13, \"r31\": -0.01, \"r32\": -0.94, \"r33\": -0.34}"
} | B | {"tx": 3.85, "ty": 3.04, "tz": 1.56, "r11": -0.14, "r12": -0.34, "r13": 0.93, "r21": -0.99, "r22": 0.06, "r23": -0.13, "r31": -0.01, "r32": -0.94, "r33": -0.34} | 1 | indoor |
|
scene0141_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 31.5 | {
"A": "86°",
"B": "103°",
"C": "91°",
"D": "99°",
"E": "95°"
} | E | -94.79° | 2 | indoor |
|
scene0141_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | What is the 3D bounding box in camera coordinates for the white photo frame with papers on a cluttered surface in the selected frame? Please provide the dimensions (length, width, height), the central point coordinates (x, y, z), and the heading angle. (unit: m, m/s, m/s², °) | Object description: White photo frame with papers on a cluttered surface. | 5.3 | 5.3 | {
"A": "{\"C_lwh\": [0.35, 0.43, 0.27], \"C_central_point\": [6.07, 1.24, 0.79], \"C_heading\": 22.87}",
"B": "{\"C_lwh\": [0.34, 0.43, 0.28], \"C_central_point\": [6.08, 1.25, 0.80], \"C_heading\": 23.11}",
"C": "{\"C_lwh\": [0.33, 0.44, 0.31], \"C_central_point\": [6.07, 1.26, 0.82], \"C_heading\": 23.03}",
"D": "{\"C_lwh\": [0.31, 0.38, 0.26], \"C_central_point\": [6.09, 1.20, 0.79], \"C_heading\": 22.95}",
"E": "{\"C_lwh\": [0.36, 0.45, 0.29], \"C_central_point\": [6.06, 1.25, 0.81], \"C_heading\": 23.18}"
} | D | {"C_lwh": [0.31, 0.38, 0.26], "C_central_point": [-6.09, 1.2, -0.79], "C_heading": 22.95} | 3 | indoor |
scene0141_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | What is the 3D bounding box in camera coordinates for the Hello Kitty toaster on a cluttered table in the selected frame? (unit: m, m/s, m/s², °) | Object description: Hello Kitty toaster on a cluttered table. | 29.7 | 29.7 | {
"A": "{\"C_lwh\": [0.28, 0.33, 0.17], \"C_central_point\": [0.43, 4.95, 5.84], \"C_heading\": 34.38}",
"B": "{\"C_lwh\": [0.28, 0.33, 0.17], \"C_central_point\": [0.45, 4.98, 5.83], \"C_heading\": 34.38}",
"C": "{\"C_lwh\": [0.28, 0.33, 0.17], \"C_central_point\": [0.44, 4.96, 5.86], \"C_heading\": 34.38}",
"D": "{\"C_lwh\": [0.28, 0.33, 0.17], \"C_central_point\": [0.42, 4.94, 5.85], \"C_heading\": 34.38}",
"E": "{\"C_lwh\": [0.28, 0.33, 0.17], \"C_central_point\": [0.44, 4.97, 5.83], \"C_heading\": 34.38}"
} | D | {"C_lwh": [0.28, 0.33, 0.17], "C_central_point": [0.42, 4.94, -5.85], "C_heading": -34.38} | 4 | indoor |
scene0141_00.mp4 | ScanNet | Dimensional Measurement | Single Choice | What is the distance between the camera and the Hello Kitty toaster on the cluttered table at the given frame? (unit: m, m/s, m/s², °) | Object: Hello Kitty toaster on a cluttered table. | 0 | 0 | {
"A": "6.75m",
"B": "6.17m",
"C": "6.46m",
"D": "6.02m",
"E": "5.88m"
} | B | 6.17m | 5 | indoor |
scene0141_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most likely displacement (straight-line distance) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 31.5 | {
"A": "1.52m",
"B": "0.92m",
"C": "1.22m",
"D": "1.15m",
"E": "1.29m"
} | C | 1.22m | 6 | indoor |
|
scene0141_00.mp4 | ScanNet | Speed & Acceleration | Single Choice | What is the most appropriate average speed of the camera over the specified time interval? (unit: m, m/s, m/s², °) | 18.2 | 19.8 | {
"A": "0.25m/s",
"B": "0.05",
"C": "0.12m/s",
"D": "0.30m/s",
"E": "0.47m/s"
} | D | 0.30m/s | 7 | indoor |
|
scene0142_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | What is the 3D bounding box in camera coordinates for the wooden door with a silver handle and lock from a single randomly selected frame? (unit: m, m/s, m/s², °) | Object description: Wooden door with a silver handle and lock. | 75.3 | 75.3 | {
"A": "C_lwh: [1.23, 0.12, 1.57], C_central_point: [1.21, 0.60, 1.87], C_heading: 158.76",
"B": "C_lwh: [1.29, 0.13, 1.60], C_central_point: [1.24, 0.61, 1.96], C_heading: 158.92",
"C": "C_lwh: [1.26, 0.15, 1.62], C_central_point: [1.22, 0.63, 1.93], C_heading: 158.60",
"D": "C_lwh: [1.35, 0.14, 1.65], C_central_point: [1.23, 0.69, 1.98], C_heading: 158.45",
"E": "C_lwh: [1.32, 0.17, 1.68], C_central_point: [1.27, 0.65, 1.89], C_heading: 159.07"
} | A | {"C_lwh": [1.23, 0.12, 1.57], "C_central_point": [-1.21, -0.6, 1.87], "C_heading": 158.76} | 0 | indoor |
scene0142_00.mp4 | ScanNet | Dimensional Measurement | Single Choice | What is the distance between the camera and the Dell monitor mounted on a stand against the whiteboard at the given frame? (unit: m, m/s, m/s², °) | Object: Dell monitor mounted on a stand against whiteboard. | 34.2 | 34.2 | {
"A": "6.08m",
"B": "5.92m",
"C": "6.18m",
"D": "5.67m",
"E": "5.76m"
} | B | 5.92m | 1 | indoor |
scene0142_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most appropriate trajectory length (total distance traveled) of the camera or object between two frames? (unit: m, m/s, m/s², °) | 0 | 81.1 | {
"A": "32.61m",
"B": "32.91m",
"C": "32.85m",
"D": "32.67m",
"E": "32.53m"
} | D | 32.67m | 2 | indoor |
|
scene0142_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most likely displacement (straight-line distance) of the camera between two frames? The options are in meters. (unit: m, m/s, m/s², °) | 0 | 81.1 | {
"A": "0.15m",
"B": "0.36m",
"C": "0.20m",
"D": "0.10m",
"E": "0.28m"
} | C | 0.20m | 3 | indoor |
|
scene0142_00.mp4 | ScanNet | Speed & Acceleration | Single Choice | What is the most appropriate average speed of the camera over the specified time interval? (unit: m, m/s, m/s², °) | 8.7 | 13.2 | {
"A": "0.02m/s",
"B": "0.1m/s",
"C": "0.12m/s",
"D": "0.18m/s",
"E": "0.22m/s"
} | C | 0.12m/s | 4 | indoor |
|
scene0142_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 81.1 | {
"A": "27°",
"B": "22°",
"C": "18°",
"D": "31°",
"E": "16°"
} | B | -22.47° | 5 | indoor |
|
scene0142_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 3.05, "ty": 4.01, "tz": 1.48, "r11": 0.74, "r12": 0.02, "r13": -0.67, "r21": 0.67, "r22": -0.05, "r23": 0.74, "r31": -0.01, "r32": -1.0, "r33": -0.05}, estimate and select the most likely camera pose in 3D space using only the RGB video that matches the ground truth. (unit: m, m/s, m/s², °) | 61 | 61 | {
"A": "{\"tx\": 1.0, \"ty\": 8.74, \"tz\": 4.4, \"r11\": -0.29, \"r12\": 0.21, \"r13\": -0.93, \"r21\": 0.95, \"r22\": 0.01, \"r23\": -0.3, \"r31\": -0.05, \"r32\": -0.98, \"r33\": -0.2}",
"B": "{\"tx\": 7.0, \"ty\": 3.74, \"tz\": 3.4, \"r11\": -0.29, \"r12\": 0.21, \"r13\": -0.93, \"r21\": 0.95, \"r22\": 0.01, \"r23\": -0.3, \"r31\": -0.05, \"r32\": -0.98, \"r33\": -0.2}",
"C": "{\"tx\": 9.0, \"ty\": 0.74, \"tz\": 5.4, \"r11\": -0.29, \"r12\": 0.21, \"r13\": -0.93, \"r21\": 0.95, \"r22\": 0.01, \"r23\": -0.3, \"r31\": -0.05, \"r32\": -0.98, \"r33\": -0.2}",
"D": "{\"tx\": 5.0, \"ty\": 2.74, \"tz\": 1.4, \"r11\": -0.29, \"r12\": 0.21, \"r13\": -0.93, \"r21\": 0.95, \"r22\": 0.01, \"r23\": -0.3, \"r31\": -0.05, \"r32\": -0.98, \"r33\": -0.2}",
"E": "{\"tx\": 3.0, \"ty\": 6.74, \"tz\": 2.4, \"r11\": -0.29, \"r12\": 0.21, \"r13\": -0.93, \"r21\": 0.95, \"r22\": 0.01, \"r23\": -0.3, \"r31\": -0.05, \"r32\": -0.98, \"r33\": -0.2}"
} | D | {"tx": 5.0, "ty": 2.74, "tz": 1.4, "r11": -0.29, "r12": 0.21, "r13": -0.93, "r21": 0.95, "r22": 0.01, "r23": -0.3, "r31": -0.05, "r32": -0.98, "r33": -0.2} | 6 | indoor |
|
scene0143_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | What is the 3D bounding box in camera coordinates for the red armchair with a brown ottoman in front of it from a single randomly selected frame? Please select the most appropriate parameter set. The options include C_lwh (length, width, height), C_central_point (x, y, z), and C_heading (heading angle). (unit: m, m/s, m/s², °) | Object description: Red armchair with a brown ottoman in front of it. | 2.9 | 2.9 | {
"A": "{\"C_lwh\": [1.00, 1.03, 0.95], \"C_central_point\": [0.70, 2.08, 1.88], \"C_heading\": 28.44}",
"B": "{\"C_lwh\": [0.97, 1.00, 0.92], \"C_central_point\": [0.67, 2.05, 1.85], \"C_heading\": 28.47}",
"C": "{\"C_lwh\": [1.06, 1.09, 1.01], \"C_central_point\": [0.77, 2.15, 1.95], \"C_heading\": 28.56}",
"D": "{\"C_lwh\": [1.03, 1.06, 0.98], \"C_central_point\": [0.73, 2.11, 1.91], \"C_heading\": 28.53}",
"E": "{\"C_lwh\": [0.94, 0.97, 0.89], \"C_central_point\": [0.64, 2.02, 1.82], \"C_heading\": 28.50}"
} | E | {"C_lwh": [0.94, 0.97, 0.89], "C_central_point": [0.64, 2.02, -1.82], "C_heading": -28.5} | 0 | indoor |
scene0143_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most appropriate trajectory length (total distance traveled) of the camera or object between two frames? (unit: m, m/s, m/s², °) | 0 | 8 | {
"A": "1.75m",
"B": "1.51m",
"C": "1.61m",
"D": "1.81m",
"E": "1.99m"
} | A | 1.75m | 1 | indoor |
|
scene0143_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most likely displacement (straight-line distance) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 8 | {
"A": "0.74m",
"B": "0.67m",
"C": "0.45m",
"D": "0.38m",
"E": "0.29m"
} | C | 0.45m | 2 | indoor |
|
scene0143_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 1.2, "ty": 0.92, "tz": 1.36, "r11": -0.09, "r12": -0.72, "r13": 0.69, "r21": -1.0, "r22": 0.08, "r23": -0.05, "r31": -0.02, "r32": -0.69, "r33": -0.73}, estimate and select the most likely camera pose in 3D space using only the RGB video that matches the ground truth. (unit: m, m/s, m/s², °) | 7 | 7 | {
"A": "{\"tx\": -11.51, \"ty\": -0.89, \"tz\": -10.44, \"r11\": 1.0, \"r12\": -0.08, \"r13\": -0.04, \"r21\": 0.02, \"r22\": -0.33, \"r23\": 0.94, \"r31\": -0.09, \"r32\": -0.94, \"r33\": -0.33}",
"B": "{\"tx\": -1.51, \"ty\": -0.89, \"tz\": -0.44, \"r11\": 1.0, \"r12\": -0.08, \"r13\": -0.04, \"r21\": 0.02, \"r22\": -0.33, \"r23\": 0.94, \"r31\": -0.09, \"r32\": -0.94, \"r33\": -0.33}",
"C": "{\"tx\": 1.49, \"ty\": 1.11, \"tz\": 1.56, \"r11\": 1.0, \"r12\": -0.08, \"r13\": -0.04, \"r21\": 0.02, \"r22\": -0.33, \"r23\": 0.94, \"r31\": -0.09, \"r32\": -0.94, \"r33\": -0.33}",
"D": "{\"tx\": 3.49, \"ty\": 3.11, \"tz\": 3.56, \"r11\": 1.0, \"r12\": -0.08, \"r13\": -0.04, \"r21\": 0.02, \"r22\": -0.33, \"r23\": 0.94, \"r31\": -0.09, \"r32\": -0.94, \"r33\": -0.33}",
"E": "{\"tx\": -7.51, \"ty\": -5.89, \"tz\": -6.44, \"r11\": 1.0, \"r12\": -0.08, \"r13\": -0.04, \"r21\": 0.02, \"r22\": -0.33, \"r23\": 0.94, \"r31\": -0.09, \"r32\": -0.94, \"r33\": -0.33}"
} | C | {"tx": 1.49, "ty": 1.11, "tz": 1.56, "r11": 1.0, "r12": -0.08, "r13": -0.04, "r21": 0.02, "r22": -0.33, "r23": 0.94, "r31": -0.09, "r32": -0.94, "r33": -0.33} | 3 | indoor |
|
scene0143_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 8 | {
"A": "24°",
"B": "3°",
"C": "-20°",
"D": "12°",
"E": "-28°"
} | C | -13.95° | 4 | indoor |
|
scene0144_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | What is the 3D bounding box of the white wooden cabinet with a printer on top, near the window, in camera coordinates from a single randomly selected frame? (unit: m, m/s, m/s², °) | Object description: White wooden cabinet with a printer on top, near window. | 7.9 | 7.9 | {
"A": "{\"C_lwh\": [0.61, 0.53, 0.82], \"C_central_point\": [0.39, 0.51, 2.90], \"C_heading\": 159.79}",
"B": "{\"C_lwh\": [0.508, 0.5, 0.79], \"C_central_point\": [0.36, 0.48, 2.87], \"C_heading\": 159.67}",
"C": "{\"C_lwh\": [0.70, 0.58, 0.95], \"C_central_point\": [0.44, 0.64, 3.03], \"C_heading\": 159.51}",
"D": "{\"C_lwh\": [0.64, 0.59, 0.92], \"C_central_point\": [0.48, 0.59, 3.00], \"C_heading\": 159.83}",
"E": "{\"C_lwh\": [0.67, 0.55, 0.88], \"C_central_point\": [0.42, 0.62, 2.96], \"C_heading\": 159.98}"
} | B | {"C_lwh": [0.58, 0.5, 0.79], "C_central_point": [0.36, 0.48, 2.87], "C_heading": 159.67} | 0 | indoor |
scene0144_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | What is the 3D bounding box in camera coordinates for the black briefcase on beige carpet near black furniture from a single randomly selected frame? (unit: m, m/s, m/s², °) | Object description: Black briefcase on beige carpet near black furniture. | 13 | 13 | {
"A": "{\"C_lwh\": [0.58, 0.29, 0.31], \"C_central_point\": [2.53, 0.86, 2.61], \"C_heading\": 162.85}",
"B": "{\"C_lwh\": [0.58, 0.29, 0.31], \"C_central_point\": [2.53, 0.86, 2.92], \"C_heading\": 162.85}",
"C": "{\"C_lwh\": [0.61, 0.29, 0.31], \"C_central_point\": [2.59, 0.86, 2.61], \"C_heading\": 162.85}",
"D": "{\"C_lwh\": [0.58, 0.29, 0.31], \"C_central_point\": [2.53, 0.86, 3.23], \"C_heading\": 162.85}",
"E": "{\"C_lwh\": [0.58, 0.29, 0.31], \"C_central_point\": [2.84, 0.86, 2.61], \"C_heading\": 162.85}"
} | A | {"C_lwh": [0.58, 0.29, 0.31], "C_central_point": [2.53, -0.86, 2.61], "C_heading": 162.85} | 1 | indoor |
scene0144_00.mp4 | ScanNet | Dimensional Measurement | Single Choice | What is the distance between the camera and the beige folding chair with a metal frame near the wooden table at the given frame? (unit: m, m/s, m/s², °) | Object: Beige folding chair with metal frame near wooden table. | 0 | 0 | {
"A": "2.63m",
"B": "2.72m",
"C": "2.56m",
"D": "2.54m",
"E": "2.76m"
} | A | 2.63m | 2 | indoor |
scene0144_00.mp4 | ScanNet | Speed & Acceleration | Single Choice | What was the average speed of the camera over the specified time interval? (unit: m, m/s, m/s², °) | 26.7 | 30.5 | {
"A": "0.47m/s",
"B": "0.31m/s",
"C": "0.26m/s",
"D": "0.10m/s",
"E": "0.58m/s"
} | C | 0.26m/s | 3 | indoor |
|
scene0144_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 47.9 | {
"A": "26°",
"B": "18°",
"C": "21°",
"D": "30°",
"E": "34°"
} | A | -24.54° | 4 | indoor |
|
scene0144_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 2.45, "ty": 1.45, "tz": 1.4, "r11": 1.0, "r12": 0.01, "r13": -0.08, "r21": 0.08, "r22": -0.4, "r23": 0.91, "r31": -0.02, "r32": -0.92, "r33": -0.4}, estimate and select the most likely camera pose in 3D space using only the RGB video for a specific frame. Please select the most appropriate estimation to match the ground truth. (unit: m, m/s, m/s², °) | 46 | 46 | {
"A": "{\"tx\": 4.73, \"ty\": 2.88, \"tz\": 3.25, \"r11\": 1.0, \"r12\": 0.01, \"r13\": -0.06, \"r21\": 0.06, \"r22\": -0.66, \"r23\": 0.75, \"r31\": -0.03, \"r32\": -0.75, \"r33\": -0.66}",
"B": "{\"tx\": 0.73, \"ty\": -1.12, \"tz\": -0.75, \"r11\": 1.0, \"r12\": 0.01, \"r13\": -0.06, \"r21\": 0.06, \"r22\": -0.66, \"r23\": 0.75, \"r31\": -0.03, \"r32\": -0.75, \"r33\": -0.66}",
"C": "{\"tx\": -1.27, \"ty\": -2.12, \"tz\": -3.75, \"r11\": 1.0, \"r12\": 0.01, \"r13\": -0.06, \"r21\": 0.06, \"r22\": -0.66, \"r23\": 0.75, \"r31\": -0.03, \"r32\": -0.75, \"r33\": -0.66}",
"D": "{\"tx\": 2.73, \"ty\": 0.88, \"tz\": 1.25, \"r11\": 1.0, \"r12\": 0.01, \"r13\": -0.06, \"r21\": 0.06, \"r22\": -0.66, \"r23\": 0.75, \"r31\": -0.03, \"r32\": -0.75, \"r33\": -0.66}",
"E": "{\"tx\": 9.73, \"ty\": 8.88, \"tz\": 7.25, \"r11\": 1.0, \"r12\": 0.01, \"r13\": -0.06, \"r21\": 0.06, \"r22\": -0.66, \"r23\": 0.75, \"r31\": -0.03, \"r32\": -0.75, \"r33\": -0.66}"
} | D | {"tx": 2.73, "ty": 0.88, "tz": 1.25, "r11": 1.0, "r12": 0.01, "r13": -0.06, "r21": 0.06, "r22": -0.66, "r23": 0.75, "r31": -0.03, "r32": -0.75, "r33": -0.66} | 5 | indoor |
|
scene0144_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most appropriate trajectory length (total distance traveled) of the camera or object between two frames given the ground truth is 13.64m? (unit: m, m/s, m/s², °) | 0 | 47.9 | {
"A": "13.52m",
"B": "13.37m",
"C": "13.77m",
"D": "14.17m",
"E": "13.64m"
} | E | 13.64m | 6 | indoor |
|
scene0144_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most likely displacement (straight-line distance) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 47.9 | {
"A": "0 m",
"B": "0.18 m",
"C": "0.22 m",
"D": "0.30 m",
"E": "0.39 m"
} | C | 0.22m | 7 | indoor |
|
scene0145_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most likely displacement (straight-line distance) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 44.2 | {
"A": "3.51m",
"B": "1.49m",
"C": "1.69m",
"D": "2.75m",
"E": "2.49m"
} | E | 2.49m | 0 | indoor |
|
scene0145_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most appropriate trajectory length (total distance traveled) of the camera or object between two frames? (unit: m, m/s, m/s², °) | 0 | 44.2 | {
"A": "19.26m",
"B": "19.50m",
"C": "19.02m",
"D": "19.40m",
"E": "19.20m"
} | A | 19.26m | 1 | indoor |
|
scene0145_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 7.11, "ty": 3.76, "tz": 1.63, "r11": -0.45, "r12": 0.52, "r13": -0.73, "r21": 0.87, "r22": 0.07, "r23": -0.48, "r31": -0.19, "r32": -0.85, "r33": -0.48}, estimate and select the most likely camera pose in 3D space using only the RGB video to match the ground truth. (unit: m, m/s, m/s², °) | 10 | 10 | {
"A": "{\"tx\": 4.53, \"ty\": 4.63, \"tz\": 1.62, \"r11\": 0.85, \"r12\": -0.33, \"r13\": 0.41, \"r21\": -0.52, \"r22\": -0.37, \"r23\": 0.77, \"r31\": -0.1, \"r32\": -0.87, \"r33\": -0.49}",
"B": "{\"tx\": 6.53, \"ty\": 6.63, \"tz\": 1.62, \"r11\": 0.85, \"r12\": -0.33, \"r13\": 0.41, \"r21\": -0.52, \"r22\": -0.37, \"r23\": 0.77, \"r31\": -0.1, \"r32\": -0.87, \"r33\": -0.49}",
"C": "{\"tx\": 10.53, \"ty\": 10.63, \"tz\": 1.62, \"r11\": 0.85, \"r12\": -0.33, \"r13\": 0.41, \"r21\": -0.52, \"r22\": -0.37, \"r23\": 0.77, \"r31\": -0.1, \"r32\": -0.87, \"r33\": -0.49}",
"D": "{\"tx\": 8.53, \"ty\": 8.63, \"tz\": 1.62, \"r11\": 0.85, \"r12\": -0.33, \"r13\": 0.41, \"r21\": -0.52, \"r22\": -0.37, \"r23\": 0.77, \"r31\": -0.1, \"r32\": -0.87, \"r33\": -0.49}",
"E": "{\"tx\": 2.53, \"ty\": 2.63, \"tz\": 1.62, \"r11\": 0.85, \"r12\": -0.33, \"r13\": 0.41, \"r21\": -0.52, \"r22\": -0.37, \"r23\": 0.77, \"r31\": -0.1, \"r32\": -0.87, \"r33\": -0.49}"
} | A | {"tx": 4.53, "ty": 4.63, "tz": 1.62, "r11": 0.85, "r12": -0.33, "r13": 0.41, "r21": -0.52, "r22": -0.37, "r23": 0.77, "r31": -0.1, "r32": -0.87, "r33": -0.49} | 2 | indoor |
|
scene0145_00.mp4 | ScanNet | Speed & Acceleration | Single Choice | What is the most appropriate average speed of the camera over the specified time interval? (unit: m, m/s, m/s², °) | 27.5 | 30.5 | {
"A": "0.23m/s",
"B": "0.15m/s",
"C": "0.43m/s",
"D": "0.05m/s",
"E": "0.10m/s"
} | B | 0.15m/s | 3 | indoor |
|
scene0146_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 1.62, "ty": 0.65, "tz": 1.31, "r11": 0.55, "r12": 0.33, "r13": -0.76, "r21": 0.83, "r22": -0.25, "r23": 0.49, "r31": -0.03, "r32": -0.91, "r33": -0.42}, estimate and select the most likely camera pose in 3D space using only the RGB video and select the most appropriate estimation to match the ground truth. (unit: m, m/s, m/s², °) | 16 | 16 | {
"A": "{\"tx\": 5.98, \"ty\": 5.7, \"tz\": 6.32, \"r11\": 0.51, \"r12\": -0.46, \"r13\": 0.72, \"r21\": -0.86, \"r22\": -0.28, \"r23\": 0.43, \"r31\": 0.0, \"r32\": -0.84, \"r33\": -0.54}",
"B": "{\"tx\": 2.98, \"ty\": 2.7, \"tz\": 3.32, \"r11\": 0.51, \"r12\": -0.46, \"r13\": 0.72, \"r21\": -0.86, \"r22\": -0.28, \"r23\": 0.43, \"r31\": 0.0, \"r32\": -0.84, \"r33\": -0.54}",
"C": "{\"tx\": 8.98, \"ty\": 8.7, \"tz\": 9.32, \"r11\": 0.51, \"r12\": -0.46, \"r13\": 0.72, \"r21\": -0.86, \"r22\": -0.28, \"r23\": 0.43, \"r31\": 0.0, \"r32\": -0.84, \"r33\": -0.54}",
"D": "{\"tx\": 0.98, \"ty\": 0.7, \"tz\": 1.32, \"r11\": 0.51, \"r12\": -0.46, \"r13\": 0.72, \"r21\": -0.86, \"r22\": -0.28, \"r23\": 0.43, \"r31\": 0.0, \"r32\": -0.84, \"r33\": -0.54}",
"E": "{\"tx\": 10.98, \"ty\": 10.7, \"tz\": 11.32, \"r11\": 0.51, \"r12\": -0.46, \"r13\": 0.72, \"r21\": -0.86, \"r22\": -0.28, \"r23\": 0.43, \"r31\": 0.0, \"r32\": -0.84, \"r33\": -0.54}"
} | D | {"tx": 0.98, "ty": 0.7, "tz": 1.32, "r11": 0.51, "r12": -0.46, "r13": 0.72, "r21": -0.86, "r22": -0.28, "r23": 0.43, "r31": 0.0, "r32": -0.84, "r33": -0.54} | 0 | indoor |
|
scene0146_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 1.62, "ty": 0.65, "tz": 1.31, "r11": 0.55, "r12": 0.33, "r13": -0.76, "r21": 0.83, "r22": -0.25, "r23": 0.49, "r31": -0.03, "r32": -0.91, "r33": -0.42}, estimate and select the most likely camera pose for the specific frame that matches the ground truth. (unit: m, m/s, m/s², °) | 18 | 18 | {
"A": "{\"tx\": -1.96, \"ty\": -3.81, \"tz\": -5.41, \"r11\": 0.3, \"r12\": -0.26, \"r13\": 0.92, \"r21\": -0.95, \"r22\": -0.11, \"r23\": 0.28, \"r31\": 0.03, \"r32\": -0.96, \"r33\": -0.28}",
"B": "{\"tx\": 4.96, \"ty\": -1.81, \"tz\": 2.41, \"r11\": 0.3, \"r12\": -0.26, \"r13\": 0.92, \"r21\": -0.95, \"r22\": -0.11, \"r23\": 0.28, \"r31\": 0.03, \"r32\": -0.96, \"r33\": -0.28}",
"C": "{\"tx\": 0.96, \"ty\": 0.81, \"tz\": 1.41, \"r11\": 0.3, \"r12\": -0.26, \"r13\": 0.92, \"r21\": -0.95, \"r22\": -0.11, \"r23\": 0.28, \"r31\": 0.03, \"r32\": -0.96, \"r33\": -0.28}",
"D": "{\"tx\": 6.96, \"ty\": 2.81, \"tz\": 6.41, \"r11\": 0.3, \"r12\": -0.26, \"r13\": 0.92, \"r21\": -0.95, \"r22\": -0.11, \"r23\": 0.28, \"r31\": 0.03, \"r32\": -0.96, \"r33\": -0.28}",
"E": "{\"tx\": 2.96, \"ty\": 1.81, \"tz\": 3.41, \"r11\": 0.3, \"r12\": -0.26, \"r13\": 0.92, \"r21\": -0.95, \"r22\": -0.11, \"r23\": 0.28, \"r31\": 0.03, \"r32\": -0.96, \"r33\": -0.28}"
} | C | {"tx": 0.96, "ty": 0.81, "tz": 1.41, "r11": 0.3, "r12": -0.26, "r13": 0.92, "r21": -0.95, "r22": -0.11, "r23": 0.28, "r31": 0.03, "r32": -0.96, "r33": -0.28} | 1 | indoor |
|
scene0146_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 46.9 | {
"A": "0°",
"B": "10°",
"C": "4°",
"D": "14°",
"E": "7°"
} | A | 0.61° | 2 | indoor |
|
scene0146_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most likely displacement (straight-line distance) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 46.9 | {
"A": "0.69m",
"B": "0.59m",
"C": "0.54m",
"D": "0.36m",
"E": "0.43m"
} | E | 0.43m | 3 | indoor |
|
scene0146_00.mp4 | ScanNet | Speed & Acceleration | Single Choice | What is the most appropriate average speed of the camera over the specified time interval? (unit: m, m/s, m/s², °) | 43.4 | 45.8 | {
"A": "0.46 m/s",
"B": "0.31 m/s",
"C": "0.26 m/s",
"D": "0.21 m/s",
"E": "0.13 m/s"
} | C | 0.26m/s | 4 | indoor |
|
scene0147_00.mp4 | ScanNet | Dimensional Measurement | Single Choice | What is the most appropriate width of the jewelry display board with necklaces and mannequin head on the table? (unit: m, m/s, m/s², °) | Object description: Jewelry display board with necklaces and mannequin head on table. | 14.5 | 61.8 | {
"A": "0.15m",
"B": "0.22m",
"C": "0.25m",
"D": "0.30m",
"E": "0.35m"
} | C | 0.25m, 0.72m, 0.60m | 0 | indoor |
scene0147_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 62.2 | {
"A": "111°",
"B": "99°",
"C": "103°",
"D": "96°",
"E": "107°"
} | C | 102.68° | 1 | indoor |
|
scene0147_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most likely displacement (straight-line distance) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 62.2 | {
"A": "0.37m",
"B": "0.87m",
"C": "1.64m",
"D": "1.38m",
"E": "2.39m"
} | D | 1.38m | 2 | indoor |
|
scene0147_00.mp4 | ScanNet | Speed & Acceleration | Single Choice | What is the most appropriate average speed of the camera over the specified time interval? (unit: m, m/s, m/s², °) | 29.9 | 31.2 | {
"A": "0.10m/s",
"B": "0.18m/s",
"C": "0.15m/s",
"D": "0.25m/s",
"E": "0.32m/s"
} | A | 0.10m/s | 3 | indoor |
|
scene0148_00.mp4 | ScanNet | Dimensional Measurement | Single Choice | What is the distance between the camera and the wooden recycling bin with two compartments in a bright room at the given frame? (unit: m, m/s, m/s², °) | Object: wooden recycling bin with two compartments in a bright room. | 5.8 | 5.8 | {
"A": "8.12m",
"B": "8.02m",
"C": "7.40m",
"D": "7.42m",
"E": "7.76m"
} | E | 7.76m | 0 | indoor |
scene0148_00.mp4 | ScanNet | Speed & Acceleration | Single Choice | Given the movement of the camera over a specified time interval, what is the most appropriate average speed of the camera? The options are clearly distinguishable and differ by 20% to 80% from the ground truth. (unit: m, m/s, m/s², °) | 15.4 | 18.5 | {
"A": "0.49m/s",
"B": "0.18m/s",
"C": "0.34m/s",
"D": "0.80m/s",
"E": "1.27m/s"
} | B | 0.18m/s | 1 | indoor |
|
scene0148_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 36.4 | {
"A": "39°",
"B": "49°",
"C": "57°",
"D": "53°",
"E": "45°"
} | B | -49.01° | 2 | indoor |
|
scene0148_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most likely displacement (straight-line distance) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 36.4 | {
"A": "1.25m",
"B": "0.87m",
"C": "0.35m",
"D": "1.39m",
"E": "0.61m"
} | B | 0.87m | 3 | indoor |
|
scene0148_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most appropriate trajectory length (total distance traveled) of the camera or object between two frames? (unit: m, m/s, m/s², °) | 0 | 36.4 | {
"A": "18.51m",
"B": "18.42m",
"C": "18.30m",
"D": "18.36m",
"E": "18.24m"
} | D | 18.36m | 4 | indoor |
|
scene0148_00.mp4 | ScanNet | 3D Video Grounding | Single Choice | Please select the most appropriate parameter set for the 3D bounding box in camera coordinates of the green and gray couch with light beige cushions from a single randomly selected frame. The options include C_lwh (length, width, height), C_central_point (x, y, z), and C_heading (heading angle). (unit: m, m/s, m/s², °) | Object description: Green and gray couch with light beige cushions. | 16.7 | 16.7 | {
"A": "C_lwh: [1.02, 2.27, 0.81], C_central_point: [3.15, 1.93, 0.26], C_heading: 76.65",
"B": "C_lwh: [1.02, 2.27, 0.81], C_central_point: [3.21, 2.05, 0.34], C_heading: 76.89",
"C": "C_lwh: [1.02, 2.27, 0.81], C_central_point: [3.40, 2.18, 0.67], C_heading: 76.94",
"D": "C_lwh: [1.03, 2.28, 0.81], C_central_point: [3.03, 1.86, 0.40], C_heading: 76.39",
"E": "C_lwh: [1.02, 2.28, 0.81], C_central_point: [3.18, 1.99, 0.35], C_heading: 76.70"
} | A | {"C_lwh": [1.02, 2.27, 0.81], "C_central_point": [3.15, 1.93, -0.26], "C_heading": -76.65} | 5 | indoor |
scene0149_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 3.8, "ty": 2.35, "tz": 1.47, "r11": -0.99, "r12": 0.09, "r13": -0.12, "r21": 0.15, "r22": 0.35, "r23": -0.93, "r31": -0.04, "r32": -0.93, "r33": -0.36}, estimate and select the most likely camera pose in 3D space using only the RGB video for the specific frame that matches the ground truth. (unit: m, m/s, m/s², °) | 13 | 13 | {
"A": "{\"tx\": 6.14, \"ty\": 4.46, \"tz\": 3.58, \"r11\": 0.17, \"r12\": 0.34, \"r13\": -0.93, \"r21\": 0.98, \"r22\": 0.0, \"r23\": 0.18, \"r31\": 0.06, \"r32\": -0.94, \"r33\": -0.33}",
"B": "{\"tx\": 8.14, \"ty\": 6.46, \"tz\": 5.58, \"r11\": 0.17, \"r12\": 0.34, \"r13\": -0.93, \"r21\": 0.98, \"r22\": 0.0, \"r23\": 0.18, \"r31\": 0.06, \"r32\": -0.94, \"r33\": -0.33}",
"C": "{\"tx\": 12.14, \"ty\": 10.46, \"tz\": 9.58, \"r11\": 0.17, \"r12\": 0.34, \"r13\": -0.93, \"r21\": 0.98, \"r22\": 0.0, \"r23\": 0.18, \"r31\": 0.06, \"r32\": -0.94, \"r33\": -0.33}",
"D": "{\"tx\": 4.14, \"ty\": 2.46, \"tz\": 1.58, \"r11\": 0.17, \"r12\": 0.34, \"r13\": -0.93, \"r21\": 0.98, \"r22\": 0.0, \"r23\": 0.18, \"r31\": 0.06, \"r32\": -0.94, \"r33\": -0.33}",
"E": "{\"tx\": 14.14, \"ty\": 12.46, \"tz\": 11.58, \"r11\": 0.17, \"r12\": 0.34, \"r13\": -0.93, \"r21\": 0.98, \"r22\": 0.0, \"r23\": 0.18, \"r31\": 0.06, \"r32\": -0.94, \"r33\": -0.33}"
} | D | {"tx": 4.14, "ty": 2.46, "tz": 1.58, "r11": 0.17, "r12": 0.34, "r13": -0.93, "r21": 0.98, "r22": 0.0, "r23": 0.18, "r31": 0.06, "r32": -0.94, "r33": -0.33} | 0 | indoor |
|
scene0149_00.mp4 | ScanNet | Pose Estimation | Single Choice | Given the initial pose: {"tx": 3.8, "ty": 2.35, "tz": 1.47, "r11": -0.99, "r12": 0.09, "r13": -0.12, "r21": 0.15, "r22": 0.35, "r23": -0.93, "r31": -0.04, "r32": -0.93, "r33": -0.36}, estimate and select the most likely camera pose in 3D space using only the RGB video that matches the ground truth. (unit: m, m/s, m/s², °) | 18 | 18 | {
"A": "{\"tx\": 5.96, \"ty\": 4.35, \"tz\": 2.49, \"r11\": 0.17, \"r12\": 0.48, \"r13\": -0.86, \"r21\": 0.98, \"r22\": -0.06, \"r23\": 0.17, \"r31\": 0.03, \"r32\": -0.88, \"r33\": -0.48}",
"B": "{\"tx\": 6.0, \"ty\": 5.35, \"tz\": 3.49, \"r11\": 0.17, \"r12\": 0.48, \"r13\": -0.86, \"r21\": 0.98, \"r22\": -0.06, \"r23\": 0.17, \"r31\": 0.03, \"r32\": -0.88, \"r33\": -0.48}",
"C": "{\"tx\": 8.0, \"ty\": 7.35, \"tz\": 5.49, \"r11\": 0.17, \"r12\": 0.48, \"r13\": -0.86, \"r21\": 0.98, \"r22\": -0.06, \"r23\": 0.17, \"r31\": 0.03, \"r32\": -0.88, \"r33\": -0.48}",
"D": "{\"tx\": 3.96, \"ty\": 2.35, \"tz\": 1.49, \"r11\": 0.17, \"r12\": 0.48, \"r13\": -0.86, \"r21\": 0.98, \"r22\": -0.06, \"r23\": 0.17, \"r31\": 0.03, \"r32\": -0.88, \"r33\": -0.48}",
"E": "{\"tx\": 4.0, \"ty\": 2.35, \"tz\": 1.49, \"r11\": 0.17, \"r12\": 0.48, \"r13\": -0.86, \"r21\": 0.98, \"r22\": -0.06, \"r23\": 0.17, \"r31\": 0.03, \"r32\": -0.88, \"r33\": -0.48}"
} | D | {"tx": 3.96, "ty": 2.35, "tz": 1.49, "r11": 0.17, "r12": 0.48, "r13": -0.86, "r21": 0.98, "r22": -0.06, "r23": 0.17, "r31": 0.03, "r32": -0.88, "r33": -0.48} | 1 | indoor |
|
scene0149_00.mp4 | ScanNet | Speed & Acceleration | Single Choice | What is the most appropriate average speed of the camera over the specified time interval? (unit: m, m/s, m/s², °) | 30 | 31.7 | {
"A": "0.03m/s",
"B": "0.09m/s",
"C": "0.12m/s",
"D": "0.19m/s",
"E": "0.22m/s"
} | C | 0.12m/s | 2 | indoor |
|
scene0149_00.mp4 | ScanNet | Ego-Centric Orientation | Single Choice | What is the most appropriate change in orientation of the camera from the start to the end of the video? (unit: m, m/s, m/s², °) | 0 | 46.9 | {
"A": "4°",
"B": "20°",
"C": "0°",
"D": "9°",
"E": "14°"
} | C | -8.27° | 3 | indoor |
|
scene0149_00.mp4 | ScanNet | Displacement & Path Length | Single Choice | What is the most likely displacement (straight-line distance) of the camera between two frames? (unit: m, m/s, m/s², °) | 0 | 46.9 | {
"A": "2.84 m",
"B": "2.74 m",
"C": "2.17 m",
"D": "2.43 m",
"E": "2.02 m"
} | D | 2.43m | 4 | indoor |
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