Dataset Versions

v9

2024-07-27 4:45am

Generated on Jul 27, 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.
Other Formats
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Dataset Split

Train Set 82%
1216Images
Valid Set 12%
175Images
Test Set 6%
86Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Hue: Between -10° and +10°
Saturation: Between -17% and +17%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%

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