Dataset Versions

v1

2023-08-01 11:09am

Generated on Aug 1, 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%
873Images
Valid Set 8%
83Images
Test Set 4%
41Images

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, 50% Maximum Zoom
Rotation: Between -45° and +45°
Hue: Between -25° and +25°
Saturation: Between -70% and +70%
Brightness: Between -50% and +50%
Exposure: Between -20% and +20%
Blur: Up to 1.5px

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