Dataset Versions

v12

2023-12-06 2:27am

Generated on Dec 6, 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 87%
8682Images
Valid Set 8%
845Images
Test Set 4%
430Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -50% and +50%
Bounding Box: Crop: 0% Minimum Zoom, 50% Maximum Zoom
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Blur: Up to 6px
Bounding Box: Noise: Up to 5% of pixels

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