Dataset Versions

v2

2023-11-20 3-22pm

Generated on Nov 20, 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 87%
5673Images
Valid Set 8%
541Images
Test Set 4%
270Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -61% and +61%
Brightness: Between -26% and +26%
Exposure: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 6% of pixels

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