Dataset Versions

v12

2023-12-02 10:39am

Generated on Dec 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 89%
582Images
Valid Set 11%
75Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 320x320
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 11 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -16° and +16°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -45° and +45°
Saturation: Between -41% and +41%
Brightness: Between -33% and +33%
Blur: Up to 1.25px
Bounding Box: Exposure: Between -9% and +9%
Bounding Box: Noise: Up to 3% of pixels

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