Dataset Versions

v76

2024-06-03 9:33am

Generated on Jun 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.
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Dataset Split

Train Set 87%
9444Images
Valid Set 8%
914Images
Test Set 4%
452Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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