Dataset Versions

v7

2021-08-14 7:54pm

Generated on Aug 14, 2021

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%
666Images
Valid Set 8%
64Images
Test Set 4%
32Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 8 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Cutout: 3 boxes with 10% size each
Bounding Box: Brightness: Between -25% and +0%