Dataset Versions

v1

2022-01-02 10:47pm

Generated on Jan 2, 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 92%
2487Images
Valid Set 4%
106Images
Test Set 4%
101Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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