Dataset Versions

v2

2023-03-20 11:14pm

Generated on Mar 20, 2023

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.
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Dataset Split

Train Set 87%
2451Images
Valid Set 8%
233Images
Test Set 4%
118Images

Preprocessing

Auto-Orient: Applied
Static Crop: 17-75% Horizontal Region, 25-65% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -36% and +36%
Exposure: Between -19% and +19%
Blur: Up to 2.75px
Bounding Box: Noise: Up to 5% of pixels

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