Dataset Versions

v1

2023-02-22 7:15pm

Generated on Feb 22, 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 90%
1776Images
Valid Set 7%
144Images
Test Set 3%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1080x1080
Grayscale: Applied
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -46% and +46%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down