Dataset Versions

v7

2024-05-01 4:34pm

Generated on May 1, 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 76%
5846Images
Valid Set 12%
941Images
Test Set 11%
864Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Noise: Up to 0.1% of pixels

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