Dataset Versions

v6

2024-05-16 4:58am

Generated on May 15, 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 87%
1917Images
Valid Set 8%
182Images
Test Set 4%
92Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -30° and +30°
Grayscale: Apply to 50% of images
Saturation: Between -25% and +25%
Brightness: Between -40% and +40%

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