Dataset Versions

v9

2022-10-13 4:26pm

Generated on Oct 13, 2022

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%
932Images
Valid Set 7%
76Images
Test Set 5%
56Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise
Rotation: Between -10° and +10°
Brightness: Between -25% and +25%

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