Dataset Versions

v2

2022-12-30 4:16am

Generated on Dec 30, 2022

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%
651Images
Valid Set 8%
62Images
Test Set 4%
31Images

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, 49% Maximum Zoom
Rotation: Between -25° and +25°
Grayscale: Apply to 25% of images
Brightness: Between -35% and +35%
Exposure: Between -20% and +20%
Blur: Up to 1.5px

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