Dataset Versions

v2

2023-03-21 5:01pm

Generated on Mar 21, 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%
3318Images
Valid Set 8%
321Images
Test Set 4%
160Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 4 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 5% of pixels

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