Dataset Versions

v2

2024-11-08 8:16am

Generated on Nov 8, 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 88%
1301Images
Valid Set 8%
117Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -60% and +60%
Blur: Up to 1.5px

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