Dataset Versions

v2

2023-09-10 8:15am

Generated on Sep 10, 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%
1947Images
Valid Set 8%
186Images
Test Set 4%
93Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 616x616
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -30% and +30%
Brightness: Between -31% and +31%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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