Dataset Versions

v1

2024-06-25 1:51pm

Generated on Jun 25, 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 88%
549Images
Valid Set 8%
52Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±0° Horizontal, ±23° Vertical
Brightness: Between -32% and +32%
Blur: Up to 2.2px
Cutout: 3 boxes with 23% size each
Bounding Box: Noise: Up to 2.08% of pixels

Similar Projects

See More
8.6k images 1 model