Dataset Versions

v3

2023-05-09 11:11am

Generated on May 9, 2023

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%
10185Images
Valid Set 3%
290Images
Test Set 1%
148Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -60% and +60%
Brightness: Between -60% and +60%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

Similar Projects

See More
1.3k images 3 models