Dataset Versions

v1

2023-11-15 6:31pm

Generated on Nov 15, 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 88%
939Images
Valid Set 8%
89Images
Test Set 4%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±16° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -29% and +29%
Bounding Box: Noise: Up to 8% of pixels