Dataset Versions

v5

V5_Data

Generated on Aug 30, 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 98%
3594Images
Valid Set 1%
32Images
Test Set 1%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -20° and +20°
Brightness: Between -38% and +38%
Blur: Up to 1.75px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

Similar Projects

See More