Dataset Versions

v11

2024-09-14 3:44pm

Generated on Sep 14, 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 92%
4443Images
Valid Set 8%
401Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -15% and +15%
Brightness: Between -20% and +20%

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