Dataset Versions

v1

2023-05-08 3:18am

Generated on May 8, 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%
429Images
Valid Set 8%
41Images
Test Set 4%
21Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -25° and +25°
Saturation: Between -45% and +45%
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 2% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical