|
Download README.md from HawkEyesAI/UBL-Exclusivity: direct link, hf CLI and curl.
- Browser
- Download file 1.11 kB
-
https://huggingface.co/datasets/HawkEyesAI/UBL-Exclusivity/resolve/main/README.md
- Command line
-
hf download hf://datasets/HawkEyesAI/UBL-Exclusivity/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/HawkEyesAI/UBL-Exclusivity/resolve/main/README.md
1.11 kB
# UBL Exclusivity
Exclusivity-focused retail visibility dataset for UBL.
At a Glance
| Metric | Value |
|---|---|
| Archives | 1 |
| Total images | 958 |
| Primary format | Roboflow-style YOLO vision export |
| Delivery format | Zip archives inside each folder |
Archive Inventory
| Archive | Images | Classes | Project | Source |
|---|---|---|---|---|
Exclusivity.zip |
958 | 1 | ubl-exclusivity-by5fd |
dataset |
Folder Layout
archive.zip
+-- data.yaml
+-- train/
| +-- images/
| +-- labels/
+-- valid/ or val/
+-- test/
Working With the Data
- Extract the archive you want to inspect.
- Open
data.yamlto confirm class names and split locations. - 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.yamlmetadata inside each zip. - Several folders contain multiple related datasets; the table above lists each archive separately.