Dataset Versions

v2

2023-10-29 10:31pm

Generated on Oct 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 88%
1650Images
Valid Set 9%
175Images
Test Set 2%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 864x864
Modify Classes: 1 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Grayscale: Apply to 30% of images
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1% of pixels

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