Dataset Versions

v2

2023-11-16 12:12pm

Generated on Nov 16, 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 88%
696Images
Valid Set 8%
66Images
Test Set 4%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 64% Maximum Zoom
Rotation: Between -25° and +25°
Saturation: Between -66% and +66%
Brightness: Between -56% and +56%
Exposure: Between -34% and +34%
Blur: Up to 3.75px
Noise: Up to 15% of pixels
Cutout: 8 boxes with 16% size each
Mosaic: Applied

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