Dataset Versions

v3

2024-07-30 12:53pm

Generated on Jul 30, 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 89%
4047Images
Valid Set 8%
355Images
Test Set 3%
126Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px

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