Dataset Versions

v4

2021-11-26 8:50pm

Generated on Nov 26, 2021

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%
1632Images
Valid Set %
0Images
Test Set 8%
135Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 300x300

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Saturation: Between -36% and +36%
Brightness: Between -50% and +50%
Blur: Up to 1.25px

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