Dataset Versions

v6

2024-05-03 1:18pm

Generated on May 3, 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 87%
3173Images
Valid Set 8%
305Images
Test Set 4%
154Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Blur: Up to 0.5px

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