Dataset Versions

v2

2023-04-15 4:16pm

Generated on Apr 15, 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.
Other Formats
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Dataset Split

Train Set 87%
2805Images
Valid Set 8%
267Images
Test Set 4%
135Images

Preprocessing

Resize: Stretch to 640x640
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -23° and +23°
Brightness: Between -50% and +50%
Exposure: Between -20% and +20%
Blur: Up to 2px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -23° and +23°

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