Dataset Versions

v12

2022-11-21 3:09pm

Generated on Nov 21, 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 98%
432Images
Valid Set %
0Images
Test Set 2%
10Images

Preprocessing

Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

Similar Projects

See More
1k images 1 model