Dataset Versions

v2

2023-02-07 11:37am

Generated on Feb 7, 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 87%
8833Images
Valid Set 8%
852Images
Test Set 4%
446Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 10px
Bounding Box: Exposure: Between -25% and +25%

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