Dataset Versions

v5

2023-08-29 12:00pm

Generated on Aug 29, 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 89%
15090Images
Valid Set 8%
1293Images
Test Set 4%
638Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Modify Classes: 2 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 36% of images
Saturation: Between -64% and +64%
Brightness: Between -48% and +48%
Exposure: Between -43% and +43%

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