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# BAT
A broad collection of BAT retail vision datasets covering POSM, stock, planogram, and promotional segmentation tasks.
At a Glance
| Metric | Value |
|---|---|
| Archives | 21 |
| Total images | 3905 |
| Primary format | Roboflow-style YOLO vision export |
| Delivery format | Zip archives inside each folder |
Archive Inventory
| Archive | Images | Classes | Project | Source |
|---|---|---|---|---|
all_blanks_ghw.zip |
781 | 37 | all_blanks_ghw |
dataset |
Autograph posm segment.zip |
283 | 14 | autograph-posm-segment |
dataset |
bat_stock_segment.zip |
124 | 12 | bat_stock_segment |
dataset |
Digonto.zip |
121 | 5 | digonto-5itry |
dataset |
hollywood_to_glory_posm_segment.zip |
180 | 5 | hollywood_to_glory_posm_segment |
dataset |
low_drive_posm_segment.zip |
121 | 5 | low_drive_posm_segment |
dataset |
Luckies Citrus POSM Segment.v6i.yolov8.zip |
190 | 5 | luckies-citrus-posm-segment-dse03 |
dataset |
Luckies Citrus POSM Segment.zip |
190 | 5 | luckies-citrus-posm-segment-dse03 |
dataset |
Luckies H2 Drive Plan POSM.zip |
116 | 1 | luckies-h2-drive-plan-posm-euzr9 |
dataset |
Luckies Range POSM Segment.zip |
206 | 3 | luckies-range-posm-segment |
dataset |
PJ Avenger POSM Segment.zip |
45 | 3 | pj-avenger-posm-segment |
dataset |
PJ Frost POSM Segment.zip |
106 | 3 | pj-frost-posm-segment |
dataset |
PJ Garnet POSM Segment.zip |
63 | 4 | pj-garnet-posm-segment |
dataset |
PJ MVP POSM Segment.zip |
60 | 4 | pj-jp-mvp-posm-segment |
dataset |
PJ Rabel POSM Segment.zip |
244 | 5 | pj-rabel-posm-segment |
dataset |
pj_euphoria_phase_1_posm_segment.zip |
115 | 5 | pj_euphoria_phase_1_posm_segment |
dataset |
pj_euphoria_posm_segment.zip |
81 | 4 | pj_euphoria_posm_segment-y79ah |
dataset |
pj_ruby_posm_segment.zip |
173 | 6 | pj_ruby_posm_segment |
dataset |
pj_sapphire_posm_segment.zip |
90 | 6 | pj_sapphire_posm_segment |
dataset |
Planogram_Frame.zip |
287 | 1 | planogram_frame |
dataset |
Strike POSM Segment.zip |
329 | 16 | strike-posm-segment |
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.
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