Dataset Versions

v7

2024-11-10 11:17am

Generated on Nov 10, 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%
363Images
Valid Set 8%
34Images
Test Set 4%
17Images

Preprocessing

Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Rotation: Between -15° and +15°

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