Dataset Versions

v2

2024-03-18 10:16am

Generated on Mar 18, 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%
20640Images
Valid Set 8%
1822Images
Test Set 4%
898Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -28% and +28%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Mosaic: Applied

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