Dataset Versions

v9

2024-10-08 2:54am

Generated on Oct 8, 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 92%
23637Images
Valid Set 5%
1229Images
Test Set 3%
757Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -10% and +10%
Brightness: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 0.5% of pixels

Similar Projects

See More