Dataset Versions

v9

2024-10-11 8:42am

Generated on Oct 11, 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 91%
243Images
Valid Set 6%
15Images
Test Set 3%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 23% of images
Hue: Between -23° and +23°
Saturation: Between -34% and +34%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 0.8px
Noise: Up to 1.72% of pixels

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