Dataset Versions

v3

2023-11-22 8:57pm

Generated on Nov 22, 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 87%
4527Images
Valid Set 9%
458Images
Test Set 4%
220Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Crop: 10% Minimum Zoom, 40% Maximum Zoom
Grayscale: Apply to 40% of images
Saturation: Between -40% and +40%
Brightness: Between -45% and +45%