Dataset Versions

v3

2023-08-19 6:51pm

Generated on Aug 20, 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 92%
3345Images
Valid Set 5%
197Images
Test Set 3%
96Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 22% of images
Saturation: Between -64% and +64%
Brightness: Between -48% and +48%
Exposure: Between -43% and +43%
Bounding Box: Rotation: Between -19° and +19°

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