Dataset Versions

v6

2022-11-01 5:26am

Generated on Nov 1, 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%
4128Images
Valid Set 8%
392Images
Test Set 4%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 288x288
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -50% and +50%
Brightness: Between -40% and +40%
Blur: Up to 4.25px
Noise: Up to 10% of pixels
Mosaic: Applied

Similar Projects

See More