Dataset Versions

v1

2023-07-17 2:33pm

Generated on Jul 17, 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%
6558Images
Valid Set 5%
395Images
Test Set 5%
391Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 20-71% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Cutout: 3 boxes with 18% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

Similar Projects

See More
2.5k images 1 model