Dataset Versions

v2

2022-08-11 9:06am

Generated on Aug 11, 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 87%
1659Images
Valid Set 8%
160Images
Test Set 4%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -2° and +2°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Cutout: 15 boxes with 5% size each
Mosaic: Applied
Bounding Box: Flip: Vertical

Similar Projects

See More