Dataset Versions

v1

2022-10-27 10:46am

Generated on Oct 27, 2022

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 85%
57Images
Valid Set 7%
5Images
Test Set 7%
5Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-78% Horizontal Region, 17-82% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -20° and +20°
Grayscale: Apply to 100% of images
Saturation: Between -26% and +26%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise