Datasets:
Tasks:
Object Detection
Formats:
parquet
Sub-tasks:
instance-segmentation
Languages:
English
Size:
< 1K
License:
Dataset Viewer
image
imagewidth (px) 500
500
| width
int64 500
500
| height
int64 500
500
| yolo_annotation
dict | coco_annotation
dict | pascal_voc_annotation
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|---|---|---|---|---|---|
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End of preview. Expand
in Data Studio
mb-boulder_det Dataset
An object detection dataset in YOLO format containing 8 splits: train, val, test, 0.50x_partition, 0.20x_partition, 0.05x_partition, 0.10x_partition, 0.25x_partition.
Dataset Metadata
- License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
- Version: 1.0
- Date Published: 2025-05-15
- Cite As: TBD
Dataset Details
- Format: YOLO
- Splits: train, val, test, 0.50x_partition, 0.20x_partition, 0.05x_partition, 0.10x_partition, 0.25x_partition
Partitions
This dataset includes the following partitions:
- 0.50x_partition: Available as a single split named '0.50x_partition'
- 0.20x_partition: Available as a single split named '0.20x_partition'
- 0.05x_partition: Available as a single split named '0.05x_partition'
- 0.10x_partition: Available as a single split named '0.10x_partition'
- 0.25x_partition: Available as a single split named '0.25x_partition'
Additional Formats
- Includes COCO format annotations
- Includes Pascal VOC format annotations
Usage
from datasets import load_dataset
# Load the main dataset
dataset = load_dataset("gremlin97/mb-boulder_det")
# Load a specific partition
partition_dataset = load_dataset("gremlin97/mb-boulder_det", "0.05x_partition")
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