Datasets:
Tasks:
Object Detection
Formats:
parquet
Sub-tasks:
instance-segmentation
Languages:
English
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< 1K
License:
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500 | 500 | {"bbox":[[0.257999986410141,0.39399999380111694,0.012000000104308128,0.00800000037997961],[0.3449999(...TRUNCATED) | {"image_id":28,"annotations":{"id":[3736,3737,3738,3739,3740,3741,3742,3743,3744,3745,3746,3747,3748(...TRUNCATED) | {"filename":"ESP_037018_2170_RED_MRDR_1633.tif","size":{"width":500,"height":500,"depth":1},"objects(...TRUNCATED) | |
500 | 500 | {"bbox":[[0.8349999785423279,0.43700000643730164,0.03400000184774399,0.03799999877810478],[0.6639999(...TRUNCATED) | {"image_id":34,"annotations":{"id":[4364,4365,4366,4367,4368,4369,4370,4371,4372,4373,4374,4375,4376(...TRUNCATED) | {"filename":"ESP_028537_2270_RED_3508.tif","size":{"width":500,"height":500,"depth":1},"objects":{"n(...TRUNCATED) | |
500 | 500 | {"bbox":[[0.2770000100135803,0.4230000078678131,0.017999999225139618,0.014000000432133675],[0.129999(...TRUNCATED) | {"image_id":4,"annotations":{"id":[283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,2(...TRUNCATED) | {"filename":"ESP_028537_2270_RED_3668.tif","size":{"width":500,"height":500,"depth":1},"objects":{"n(...TRUNCATED) | |
500 | 500 | {"bbox":[[0.2770000100135803,0.16200000047683716,0.017999999225139618,0.00800000037997961],[0.270999(...TRUNCATED) | {"image_id":23,"annotations":{"id":[3384,3385,3386,3387,3388,3389,3390,3391,3392,3393,3394,3395,3396(...TRUNCATED) | {"filename":"ESP_017355_2260_RED_4809.tif","size":{"width":500,"height":500,"depth":1},"objects":{"n(...TRUNCATED) |
End of preview. Expand in Data Studio
boulder_detection Dataset
An object detection dataset in YOLO format containing 3 splits: train, val, test.
Dataset Metadata
- License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
- Version: 1.0
- Date Published: 2025-05-16
- Cite As: TBD
Dataset Details
Format: YOLO
Splits: train, val, test
Classes: boulder
Additional Formats
- Includes COCO format annotations
- Includes Pascal VOC format annotations
Data Format
This dataset is compatible with the CROISSANT metadata standard.
from datasets import load_dataset
dataset = load_dataset("gremlin97/boulder_detection")
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