Dataset Versions

v5

2024-05-02 6:25pm

Generated on May 2, 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.
Other Formats
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Dataset Split

Train Set 88%
2175Images
Valid Set 8%
203Images
Test Set 4%
104Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 7% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±15° Horizontal, ±12° Vertical
Exposure: Between -12% and +12%
Blur: Up to 2.5px
Noise: Up to 1.99% of pixels

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