Dataset Versions

v7

2024-08-12 2:40pm

Generated on Aug 12, 2024

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 94%
978Images
Valid Set 2%
26Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 5-90% Horizontal Region, 2-95% Vertical Region
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -39° and +39°
Shear: ±6° Horizontal, ±9° Vertical
Brightness: Between -50% and +50%
Exposure: Between -0% and +0%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between 0% and +10%
Bounding Box: Exposure: Between -3% and +3%

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