Dataset Versions

v1

Manually split set 721

Generated on Mar 29, 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.
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Dataset Split

Train Set 88%
3621Images
Valid Set 8%
343Images
Test Set 4%
173Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Noise: Up to 10% of pixels
Bounding Box: Blur: Up to 7px

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