Dataset Versions

v1

2024-03-15 10:15am

Generated on Mar 15, 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.
Other Formats
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Dataset Split

Train Set 89%
1461Images
Valid Set 7%
111Images
Test Set 4%
65Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 41% Maximum Zoom
Shear: ±20° Horizontal, ±23° Vertical
Grayscale: Apply to 48% of images
Blur: Up to 1.7px
Noise: Up to 4.89% of pixels

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