Dataset Versions

v1

2023-02-05 11:49pm

Generated on Feb 5, 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 70%
4405Images
Valid Set 20%
1261Images
Test Set 10%
626Images

Preprocessing

Auto-Orient: Applied
Static Crop: 13-44% Horizontal Region, 45-86% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 1
Flip: Horizontal
Rotation: Between -45° and +45°
Noise: Up to 20% of pixels
Mosaic: Applied
Bounding Box: Blur: Up to 12px

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