CMAS img processing

Gujarati

Object Detection

Gujarati Image Dataset

v2

2022-09-26 11:55am

Generated on Sep 26, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 90%
9582Images
Valid Set 6%
642Images
Test Set 4%
429Images

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 -8% and +8%
Exposure: Between -7% and +7%
Noise: Up to 5% of pixels
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical