Dataset Versions

v61

MSM-team

Generated on May 29, 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 88%
1404Images
Valid Set 6%
98Images
Test Set 6%
98Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 30% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 1.25px
Cutout: 3 boxes with 5% size each
Bounding Box: Brightness: Between -12% and +12%
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Blur: Up to 1px