license final Dataset

v4

2024-08-24 2:36pm

Generated on Aug 24, 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%
144Images
Valid Set 8%
13Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 800x600
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Modify Classes: 10 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±7° Horizontal, ±2° Vertical
Brightness: Between -22% and +22%
Blur: Up to 0.9px
Noise: Up to 0.14% of pixels

Similar Projects

See More
3.9k images 1 model