Dataset Versions

v1

2023-02-25 10:55pm

Generated on Feb 25, 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%
4359Images
Valid Set 9%
427Images
Test Set 4%
213Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -5° and +5°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%