Dataset Versions

v3

2023-06-26 7:52pm

Generated on Jun 26, 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 99%
10671Images
Valid Set 1%
65Images
Test Set 0%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 450x450
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -49° and +49°
Brightness: Between -45% and +45%
Blur: Up to 2.5px

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