Dataset Versions

v5

2024-05-03 2:19pm

Generated on May 3, 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%
1437Images
Valid Set 8%
130Images
Test Set 5%
90Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -19° and +19°
Saturation: Between -33% and +33%
Blur: Up to 1.3px

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