CMAS img processing

Gujarati

Object Detection

Gujarati Image Dataset

v3

2022-11-21 2:39pm

Generated on Nov 21, 2022

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 85%
8295Images
Valid Set 8%
750Images
Test Set 8%
750Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±4° Horizontal, ±4° Vertical
Saturation: Between -7% and +7%
Exposure: Between -7% and +7%
Noise: Up to 3% of pixels
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical