Banglish_Orginal Dataset

v19

2024-06-27 8:50am

Generated on Jun 27, 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
Choose another format.

Dataset Split

Train Set 88%
4305Images
Valid Set 4%
210Images
Test Set 7%
359Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -8° and +8°
Shear: ±7° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -32% and +32%
Brightness: Between -21% and +21%
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 0.53% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Exposure: Between -10% and +10%

Similar Projects

See More