Datasets:

jwwangchn
/

UAV-BD

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Object Detection

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computer-vision

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train · 50.8k rows

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UAV-BD: UAV Bottle Dataset

UAV-BD contains 25,394 images of bottles photographed from low-altitude unmanned aerial vehicles. Download the V1.0.0 ZIP archive.

Using the COCO annotations

Extract the ZIP and pair each annotation file with the images for its split. All paths below are relative to the extracted uav-bd/ directory.

Split	Images	Image directory	COCO annotations
Train	16,252	`train/images/`	`coco/annotations/uavbd_train_.json`
Validation	4,063	`val/images/`	`coco/annotations/uavbd_val_.json`
Test	5,079	`test/images/`	`coco/annotations/uavbd_test_.json`

The archive also includes one XML annotation file per image in the corresponding split’s labels/ directory, with oriented bounding-box annotations.

Citation

Jinwang Wang, Wei Guo, Ting Pan, Huai Yu, and Wen Yang. Bottle Detection in the Wild Using Low-Altitude Unmanned Aerial Vehicles. FUSION, 2018.

UAV-BD project and development kit

Checksum

SHA-256 for UAV-BD-V1.0.0.zip: 709c2e05070c99db521c20d8145ca552b2750a81e1c133b0fa10ea07cba55ef0.

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