UBL-SOS / README.md
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# UBL SOS

SOS retail vision dataset with multiple scene types and classes.

At a Glance

Metric Value
Archives 1
Total images 1733
Primary format Roboflow-style YOLO vision export
Delivery format Zip archives inside each folder

Archive Inventory

Archive Images Classes Project Source
SOS.zip 1733 24 sos-merged-senmh 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.