Dataset Versions

v3

2024-05-11 3:18pm

Generated on May 11, 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 88%
894Images
Valid Set 8%
85Images
Test Set 4%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter by Tag: 1 required, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Shear: ±15° Horizontal, ±12° Vertical
Grayscale: Apply to 21% of images
Saturation: Between -30% and +30%
Brightness: Between -24% and +24%
Exposure: Between -14% and +14%
Blur: Up to 2.7px
Noise: Up to 1.8% of pixels

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