Dataset Versions

v1

2023-01-29 2:33am

Generated on Jan 28, 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%
6234Images
Valid Set 8%
578Images
Test Set 5%
344Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -18° and +18°
Shear: ±2° Horizontal, ±25° Vertical
Saturation: Between -92% and +92%
Exposure: Between -29% and +29%
Blur: Up to 1.75px
Noise: Up to 1% of pixels
Bounding Box: Brightness: Between -66% and +66%