Dataset Versions

v8

80-10-10 v2

Generated on May 26, 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 89%
11236Images
Valid Set 6%
710Images
Test Set 6%
707Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Shear: ±29° Horizontal, ±15° Vertical
Saturation: Between -44% and +44%
Exposure: Between -33% and +33%
Blur: Up to 1.25px
Noise: Up to 4% of pixels

Similar Projects

See More
tt 2
7k images 1 model