Dataset Versions

v3

125

Generated on Dec 19, 2021

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 92%
231Images
Valid Set 4%
10Images
Test Set 4%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -4° and +4°
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -32% and +32%
Exposure: Between -10% and +10%
Blur: Up to 1px

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