Dataset Versions

v4

2023-12-15 11:41pm

Generated on Dec 15, 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 87%
807Images
Valid Set 8%
77Images
Test Set 4%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Shear: ±29° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -45% and +45%
Exposure: Between -34% and +34%
Blur: Up to 1.5px
Noise: Up to 4% of pixels

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