Dataset Versions

v6

2023-06-02 7:39pm

Generated on Jun 2, 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%
1137Images
Valid Set 8%
102Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 15-75% Vertical Region
Resize: Stretch to 240x240
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 23% of images
Brightness: Between -32% and +32%
Exposure: Between -16% and +16%
Mosaic: Applied