Dataset Versions

v1

2022-01-25 9:58pm

Generated on Jan 25, 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 92%
9330Images
Valid Set 4%
389Images
Test Set 4%
389Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each

Similar Projects

See More
1.1k images 1 model