Dataset Versions

v3

2022-11-23 1:58am

Generated on Nov 22, 2022

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 83%
3735Images
Valid Set 9%
393Images
Test Set 9%
384Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -23% and +23%
Brightness: Between -41% and +41%
Exposure: Between -27% and +27%
Blur: Up to 2px
Noise: Up to 3% of pixels
Bounding Box: Brightness: Between -12% and +12%

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