Dataset Versions

v10

2024-11-08 4:30am

Generated on Nov 8, 2024

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 94%
900Images
Valid Set 6%
53Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 100% of images
Hue: Between -90° and +90°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 2% of pixels

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