Datasets:
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stringlengths 17
33
| Object_name
stringclasses 100
values | Object_id
int64 1
100
| Category
stringclasses 10
values | EV_offset
stringclasses 17
values | EV_idx
int64 -4
17
| Lux
int64 10
1k
| Shutter_speed
stringclasses 29
values | ISO
int64 100
6.4k
| F-Number
float64 4.5
22
| Num_objects
int64 2
5
|
|---|---|---|---|---|---|---|---|---|---|---|
1_cup/10/-5/9_0_2.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/8 | 100 | 11 | 3 |
1_cup/10/-5/9_1_1.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/8 | 200 | 16 | 3 |
1_cup/10/-5/9_2_0.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/8 | 400 | 22 | 3 |
1_cup/10/-5/6_1_4.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/60 | 200 | 5.6 | 3 |
1_cup/10/-5/3_4_4.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/500 | 1,600 | 5.6 | 3 |
1_cup/10/-5/3_5_3.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/500 | 3,200 | 8 | 3 |
1_cup/10/-5/10_0_1.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/4 | 100 | 16 | 3 |
1_cup/10/-5/7_0_4.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/30 | 100 | 5.6 | 3 |
1_cup/10/-5/7_3_1.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/30 | 800 | 16 | 3 |
1_cup/10/-5/7_4_0.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/30 | 1,600 | 22 | 3 |
1_cup/10/-5/4_5_2.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/250 | 3,200 | 11 | 3 |
1_cup/10/-5/4_6_1.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/250 | 6,400 | 16 | 3 |
1_cup/10/-5/8_0_3.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/15 | 100 | 8 | 3 |
1_cup/10/-5/8_2_1.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/15 | 400 | 16 | 3 |
1_cup/10/-5/8_3_0.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/15 | 800 | 22 | 3 |
1_cup/10/-5/5_2_4.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/125 | 400 | 5.6 | 3 |
1_cup/10/-5/5_6_0.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/125 | 6,400 | 22 | 3 |
1_cup/10/-5/2_5_4.jpg | 1_cup | 1 | cup | -5 | 10 | 10 | 1/1000 | 3,200 | 5.6 | 3 |
1_cup/10/-4/9_0_3.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/8 | 100 | 8 | 3 |
1_cup/10/-4/9_2_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/8 | 400 | 16 | 3 |
1_cup/10/-4/9_3_0.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/8 | 800 | 22 | 3 |
1_cup/10/-4/6_2_4.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/60 | 400 | 5.6 | 3 |
1_cup/10/-4/6_4_2.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/60 | 1,600 | 11 | 3 |
1_cup/10/-4/6_5_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/60 | 3,200 | 16 | 3 |
1_cup/10/-4/6_6_0.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/60 | 6,400 | 22 | 3 |
1_cup/10/-4/3_5_4.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/500 | 3,200 | 5.6 | 3 |
1_cup/10/-4/3_6_3.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/500 | 6,400 | 8 | 3 |
1_cup/10/-4/10_1_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/4 | 200 | 16 | 3 |
1_cup/10/-4/10_2_0.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/4 | 400 | 22 | 3 |
1_cup/10/-4/4_5_3.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/250 | 3,200 | 8 | 3 |
1_cup/10/-4/8_0_4.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/15 | 100 | 5.6 | 3 |
1_cup/10/-4/8_1_3.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/15 | 200 | 8 | 3 |
1_cup/10/-4/8_3_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/15 | 800 | 16 | 3 |
1_cup/10/-4/5_3_4.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/125 | 800 | 5.6 | 3 |
1_cup/10/-4/5_5_2.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/125 | 3,200 | 11 | 3 |
1_cup/10/-4/5_6_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1/125 | 6,400 | 16 | 3 |
1_cup/10/-4/12_0_0.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 1 | 100 | 22 | 3 |
1_cup/10/-4/11_0_1.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 0.5 | 100 | 16 | 3 |
1_cup/10/-4/11_1_0.jpg | 1_cup | 1 | cup | -4 | 9 | 10 | 0.5 | 200 | 22 | 3 |
1_cup/10/-3/9_0_4.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/8 | 100 | 5.6 | 3 |
1_cup/10/-3/9_1_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/8 | 200 | 8 | 3 |
1_cup/10/-3/9_3_1.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/8 | 800 | 16 | 3 |
1_cup/10/-3/6_4_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/60 | 1,600 | 8 | 3 |
1_cup/10/-3/6_5_2.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/60 | 3,200 | 11 | 3 |
1_cup/10/-3/6_6_1.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/60 | 6,400 | 16 | 3 |
1_cup/10/-3/3_6_4.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/500 | 6,400 | 5.6 | 3 |
1_cup/10/-3/10_0_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/4 | 100 | 8 | 3 |
1_cup/10/-3/10_1_2.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/4 | 200 | 11 | 3 |
1_cup/10/-3/10_2_1.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/4 | 400 | 16 | 3 |
1_cup/10/-3/10_3_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/4 | 800 | 22 | 3 |
1_cup/10/-3/7_4_2.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/30 | 1,600 | 11 | 3 |
1_cup/10/-3/7_6_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/30 | 6,400 | 22 | 3 |
1_cup/10/-3/4_5_4.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/250 | 3,200 | 5.6 | 3 |
1_cup/10/-3/4_6_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/250 | 6,400 | 8 | 3 |
1_cup/10/-3/8_1_4.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/15 | 200 | 5.6 | 3 |
1_cup/10/-3/8_2_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/15 | 400 | 8 | 3 |
1_cup/10/-3/8_3_2.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/15 | 800 | 11 | 3 |
1_cup/10/-3/8_5_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/15 | 3,200 | 22 | 3 |
1_cup/10/-3/5_4_4.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/125 | 1,600 | 5.6 | 3 |
1_cup/10/-3/5_5_3.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1/125 | 3,200 | 8 | 3 |
1_cup/10/-3/13_0_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 2 | 100 | 22 | 3 |
1_cup/10/-3/12_0_1.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1 | 100 | 16 | 3 |
1_cup/10/-3/12_1_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 1 | 200 | 22 | 3 |
1_cup/10/-3/11_2_0.jpg | 1_cup | 1 | cup | -3 | 8 | 10 | 0.5 | 400 | 22 | 3 |
1_cup/10/-2/9_4_1.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/8 | 1,600 | 16 | 3 |
1_cup/10/-2/6_4_4.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/60 | 1,600 | 5.6 | 3 |
1_cup/10/-2/6_5_3.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/60 | 3,200 | 8 | 3 |
1_cup/10/-2/6_6_2.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/60 | 6,400 | 11 | 3 |
1_cup/10/-2/10_0_4.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/4 | 100 | 5.6 | 3 |
1_cup/10/-2/10_4_0.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/4 | 1,600 | 22 | 3 |
1_cup/10/-2/7_5_2.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/30 | 3,200 | 11 | 3 |
1_cup/10/-2/7_6_1.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/30 | 6,400 | 16 | 3 |
1_cup/10/-2/4_6_4.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/250 | 6,400 | 5.6 | 3 |
1_cup/10/-2/8_2_4.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/15 | 400 | 5.6 | 3 |
1_cup/10/-2/8_6_0.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1/15 | 6,400 | 22 | 3 |
1_cup/10/-2/14_0_0.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 4 | 100 | 22 | 3 |
1_cup/10/-2/12_0_2.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1 | 100 | 11 | 3 |
1_cup/10/-2/12_2_0.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 1 | 400 | 22 | 3 |
1_cup/10/-2/11_0_3.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 0.5 | 100 | 8 | 3 |
1_cup/10/-2/11_1_2.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 0.5 | 200 | 11 | 3 |
1_cup/10/-2/11_2_1.jpg | 1_cup | 1 | cup | -2 | 7 | 10 | 0.5 | 400 | 16 | 3 |
1_cup/10/-1/9_2_4.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/8 | 400 | 5.6 | 3 |
1_cup/10/-1/9_3_3.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/8 | 800 | 8 | 3 |
1_cup/10/-1/9_4_2.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/8 | 1,600 | 11 | 3 |
1_cup/10/-1/9_5_1.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/8 | 3,200 | 16 | 3 |
1_cup/10/-1/9_6_0.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/8 | 6,400 | 22 | 3 |
1_cup/10/-1/7_5_3.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/30 | 3,200 | 8 | 3 |
1_cup/10/-1/8_4_3.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/15 | 1,600 | 8 | 3 |
1_cup/10/-1/8_5_2.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/15 | 3,200 | 11 | 3 |
1_cup/10/-1/8_6_1.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/15 | 6,400 | 16 | 3 |
1_cup/10/-1/5_6_4.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1/125 | 6,400 | 5.6 | 3 |
1_cup/10/-1/12_2_1.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 1 | 400 | 16 | 3 |
1_cup/10/-1/11_4_0.jpg | 1_cup | 1 | cup | -1 | 6 | 10 | 0.5 | 1,600 | 22 | 3 |
1_cup/10/0/9_4_3.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/8 | 1,600 | 8 | 3 |
1_cup/10/0/9_5_2.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/8 | 3,200 | 11 | 3 |
1_cup/10/0/10_2_4.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/4 | 400 | 5.6 | 3 |
1_cup/10/0/10_3_3.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/4 | 800 | 8 | 3 |
1_cup/10/0/10_4_2.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/4 | 1,600 | 11 | 3 |
1_cup/10/0/10_5_1.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/4 | 3,200 | 16 | 3 |
1_cup/10/0/10_6_0.jpg | 1_cup | 1 | cup | 0 | 5 | 10 | 1/4 | 6,400 | 22 | 3 |
End of preview. Expand
in Data Studio
SNAP Benchmark
Code and annotations: [https://github.com/ykotseruba/SNAP]
SNAP (stands for Shutter speed, ISO seNsitivity, and APerture) is a new benchmark consisting of images of objects taken under controlled lighting conditions and with densely sampled camera settings.
This benchmark allows testing the effects of capture bias, which includes camera settings and illumination, on performance of vision algorithms.
SNAP contains 37,558 images of 100 scenes (10 scenes per 10 object categories) uniformly distributed across sensor settings and annotations for the following tasks:
- image classification;
- object detection;
- instance segmentation;
- visual question answering (VQA).
- Curated by: Iuliia Kotseruba
- Shared by: Iuliia Kotseruba
- Language(s) (NLP): English
- License: CC-by-4.0
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