Dataset Versions

v17

also also doesn-t detect

Generated on Oct 20, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 93%
4249Images
Valid Set 4%
199Images
Test Set 3%
121Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 7
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -34% and +34%
Bounding Box: Exposure: Between -18% and +18%
Bounding Box: Noise: Up to 1.23% of pixels