Dataset Versions

v3

2024-09-09 4:02am

Generated on Sep 9, 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.
Other Formats
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Dataset Split

Train Set 87%
894Images
Valid Set 8%
85Images
Test Set 4%
43Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 5% of images
Saturation: Between -15% and +15%
Brightness: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 0.77% of pixels

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