Dataset Versions

v3

2024-05-16 2:44pm

Generated on May 16, 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 88%
753Images
Valid Set 6%
52Images
Test Set 6%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Saturation: Between -10% and +10%
Exposure: Between -4% and +4%
Blur: Up to 1.2px
Noise: Up to 1.76% of pixels

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