Dataset Versions

v4

2023-02-11 3:13am

Generated on Feb 10, 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 94%
20062Images
Valid Set 4%
820Images
Test Set 2%
415Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 7
Flip: Horizontal
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Cutout: 3 boxes with 10% size each
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 10% of pixels