Dataset Versions

v11

ninth

Generated on Mar 27, 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 80%
2160Images
Valid Set 15%
405Images
Test Set 5%
135Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 1
Flip: Horizontal
Grayscale: Apply to 10% of images
Hue: Between -35° and +35°
Saturation: Between -65% and +65%
Brightness: Between -35% and +35%
Exposure: Between -25% and +25%
Noise: Up to 1% of pixels

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