Dataset Versions

v6

2022-09-30 3:57pm

Generated on Sep 30, 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 70%
2746Images
Valid Set 20%
783Images
Test Set 10%
397Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 1
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -8% and +8%
Brightness: Between -32% and +32%
Exposure: Between -3% and +3%
Blur: Up to 1.75px
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical

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