Dataset Versions

v5

2024-11-29 11:48am

Generated on Nov 29, 2024

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%
1424Images
Valid Set 12%
194Images
Test Set %
0Images

Preprocessing

Static Crop: 0-75% Horizontal Region, 31-85% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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