Dataset Versions

v6

2023-05-28 6:27pm

Generated on May 28, 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%
1464Images
Valid Set 8%
133Images
Test Set 5%
76Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 16-92% Horizontal Region, 1-95% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -22° and +22°
Shear: ±6° Horizontal, ±28° Vertical
Brightness: Between -39% and +39%
Exposure: Between -12% and +12%
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°

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