Dataset Versions

v2

2022-12-17 12:33am

Generated on Dec 17, 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 82%
321Images
Valid Set 12%
48Images
Test Set 6%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Shear: ±23° Horizontal, ±11° Vertical
Saturation: Between -52% and +52%
Brightness: Between -34% and +34%

Similar Projects

See More
8.1k images 1 model