Dataset Versions

v4

2023-12-13 10:02pm

Generated on Dec 13, 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.
Other Formats
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Dataset Split

Train Set 87%
9744Images
Valid Set 8%
923Images
Test Set 4%
472Images

Preprocessing

Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 70% Maximum Zoom
Grayscale: Apply to 50% of images
Hue: Between -180° and +180°
Saturation: Between -83% and +83%
Brightness: Between -40% and +40%
Exposure: Between -40% and +40%
Blur: Up to 3.75px
Noise: Up to 5% of pixels

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