Dataset Versions

v1

tomato_rot

Generated on Oct 26, 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 96%
1701Images
Valid Set 2%
32Images
Test Set 2%
31Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 4 remapped, 9 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±14° Vertical
Saturation: Between -32% and +32%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 2.7px

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