Dataset Versions

v5

2023-04-28 9:55pm

Generated on Apr 29, 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 91%
1500Images
Valid Set 5%
76Images
Test Set 4%
67Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -34° and +34°
Saturation: Between -50% and +50%
Noise: Up to 5% of pixels

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