Dataset Versions

v3

2023-05-24 11:20am

Generated on May 24, 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 86%
3942Images
Valid Set 7%
341Images
Test Set 6%
293Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 33% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -17° and +17°
Saturation: Between -40% and +40%
Blur: Up to 1.75px
Noise: Up to 7% of pixels