Dataset Versions

v10

2023-12-15 3:03am

Generated on Dec 14, 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.
Other Formats
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Dataset Split

Train Set 88%
969Images
Valid Set 8%
91Images
Test Set 4%
46Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±31° Horizontal, ±31° Vertical
Brightness: Between -16% and +16%
Exposure: Between -32% and +32%
Blur: Up to 0.25px
Noise: Up to 3% of pixels

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