idcardsmrz Dataset

v4

2024-08-09 7:25am

Generated on Aug 9, 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 84%
159Images
Valid Set 10%
19Images
Test Set 6%
12Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Dynamic Crop: Class: 0
Resize: Stretch to 340x414
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -14% and +14%
Cutout: 3 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 37% Maximum Zoom
Bounding Box: Rotation: Between -28° and +28°
Bounding Box: Shear: ±17° Horizontal, ±16° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels

Similar Projects

See More