Dataset Versions

v1

2024-07-30 1:26pm

Generated on Jul 30, 2024

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 78%
3832Images
Valid Set 14%
660Images
Test Set 8%
392Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: 4
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±22° Horizontal, ±22° Vertical
Saturation: Between -25% and +25%
Cutout: 9 boxes with 10% size each
Mosaic: Applied

Similar Projects

See More