license final Dataset

v8

2024-09-11 12:22pm

Generated on Sep 11, 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 96%
183Images
Valid Set 4%
8Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±2° Vertical
Brightness: Between -23% and +23%
Exposure: Between -19% and +19%
Blur: Up to 0.9px
Noise: Up to 0.46% of pixels

Similar Projects

See More
3.9k images 1 model