Dataset Versions

v3

2023-08-05 10:02am

Generated on Aug 5, 2023

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.
Other Formats
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Dataset Split

Train Set 82%
1200Images
Valid Set 11%
167Images
Test Set 7%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -50% and +50%
Brightness: Between -49% and +49%
Bounding Box: Rotation: Between -15° and +15°

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