Dataset Versions

v1

2023-08-02 10:55am

Generated on Aug 2, 2023

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 90%
519Images
Valid Set 6%
36Images
Test Set 4%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Grayscale: Apply to 30% of images
Saturation: Between -30% and +30%
Brightness: Between -40% and +40%
Exposure: Between -34% and +34%
Blur: Up to 5.25px
Noise: Up to 3% of pixels

Similar Projects

See More