Dataset Versions

v2

2024-02-12 8:29pm

Generated on Feb 12, 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 97%
3360Images
Valid Set 2%
56Images
Test Set 2%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Grayscale: Apply to 10% of images
Saturation: Between -20% and +20%
Exposure: Between -10% and +10%
Noise: Up to 1.49% of pixels

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