Dataset Versions

v12

2024-08-15 6:20am

Generated on Aug 15, 2024

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%
1191Images
Valid Set 8%
115Images
Test Set 4%
57Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -29% and +29%
Brightness: Between -18% and +18%
Exposure: Between -10% and +10%
Blur: Up to 1.2px
Noise: Up to 0.65% of pixels