Dataset Versions

v10

2023-03-21 12:57am

Generated on Mar 20, 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 85%
7076Images
Valid Set 9%
783Images
Test Set 6%
487Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Shear: ±29° Horizontal, ±15° Vertical
Saturation: Between -45% and +45%
Exposure: Between -34% and +34%
Blur: Up to 1.5px
Noise: Up to 4% of pixels