# Heinken
Heineken-themed frame and SKU vision datasets.
At a Glance
| Metric | Value |
|---|---|
| Archives | 2 |
| Total images | 66 |
| Primary format | Roboflow-style YOLO vision export |
| Delivery format | Zip archives inside each folder |
Archive Inventory
| Archive | Images | Classes | Project | Source |
|---|---|---|---|---|
HEINKEN FRAME.zip |
33 | 1 | heineken_frame |
dataset |
HEINKEN SKU.zip |
33 | 22 | heineken-l93wc |
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.