README.md

# UBL MTSOS

MTSOS retail audit dataset covering a large multi-class vision taxonomy.

At a Glance

Metric	Value
Archives	1
Total images	686
Primary format	Roboflow-style YOLO vision export
Delivery format	Zip archives inside each folder

Archive Inventory

Archive	Images	Classes	Project	Source
MTSOS.zip	686	60	mtsos	dataset

Folder Layout

archive.zip
+-- data.yaml
+-- train/
|   +-- images/
|   +-- labels/
+-- valid/ or val/
+-- test/

Working With the Data

1. Extract the archive you want to inspect.
2. Open data.yaml to confirm class names and split locations.
3. Use the image and label pairs directly for YOLO training, validation, or audit workflows.

Notes

• These archives follow a Roboflow export pattern and keep the original data.yaml metadata inside each zip.
• Several folders contain multiple related datasets; the table above lists each archive separately.