| # BAT |
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| > A broad collection of BAT retail vision datasets covering POSM, stock, planogram, and promotional segmentation tasks. |
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| ## At a Glance |
| | Metric | Value | |
| | --- | --- | |
| | Archives | 21 | |
| | Total images | 3905 | |
| | Primary format | Roboflow-style YOLO vision export | |
| | Delivery format | Zip archives inside each folder | |
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|
| ## Archive Inventory |
| | Archive | Images | Classes | Project | Source | |
| | --- | ---: | ---: | --- | --- | |
| | `all_blanks_ghw.zip` | 781 | 37 | `all_blanks_ghw` | [dataset](https://universe.roboflow.com/bat-campaign/all_blanks_ghw/dataset/33) | |
| | `Autograph posm segment.zip` | 283 | 14 | `autograph-posm-segment` | [dataset](https://universe.roboflow.com/bat-campaign/autograph-posm-segment/dataset/6) | |
| | `bat_stock_segment.zip` | 124 | 12 | `bat_stock_segment` | [dataset](https://universe.roboflow.com/bat-campaign/bat_stock_segment/dataset/2) | |
| | `Digonto.zip` | 121 | 5 | `digonto-5itry` | [dataset](https://universe.roboflow.com/bat-aweww/digonto-5itry/dataset/4) | |
| | `hollywood_to_glory_posm_segment.zip` | 180 | 5 | `hollywood_to_glory_posm_segment` | [dataset](https://universe.roboflow.com/bat-campaign/hollywood_to_glory_posm_segment/dataset/4) | |
| | `low_drive_posm_segment.zip` | 121 | 5 | `low_drive_posm_segment` | [dataset](https://universe.roboflow.com/bat-campaign/low_drive_posm_segment/dataset/4) | |
| | `Luckies Citrus POSM Segment.v6i.yolov8.zip` | 190 | 5 | `luckies-citrus-posm-segment-dse03` | [dataset](https://universe.roboflow.com/bat-campaign-2/luckies-citrus-posm-segment-dse03/dataset/6) | |
| | `Luckies Citrus POSM Segment.zip` | 190 | 5 | `luckies-citrus-posm-segment-dse03` | [dataset](https://universe.roboflow.com/bat-campaign-2/luckies-citrus-posm-segment-dse03/dataset/6) | |
| | `Luckies H2 Drive Plan POSM.zip` | 116 | 1 | `luckies-h2-drive-plan-posm-euzr9` | [dataset](https://universe.roboflow.com/bat-campaign-2/luckies-h2-drive-plan-posm-euzr9/dataset/2) | |
| | `Luckies Range POSM Segment.zip` | 206 | 3 | `luckies-range-posm-segment` | [dataset](https://universe.roboflow.com/bat-campaign-2/luckies-range-posm-segment/dataset/4) | |
| | `PJ Avenger POSM Segment.zip` | 45 | 3 | `pj-avenger-posm-segment` | [dataset](https://universe.roboflow.com/bat-campaign-2/pj-avenger-posm-segment/dataset/2) | |
| | `PJ Frost POSM Segment.zip` | 106 | 3 | `pj-frost-posm-segment` | [dataset](https://universe.roboflow.com/bat-campaign-2/pj-frost-posm-segment/dataset/7) | |
| | `PJ Garnet POSM Segment.zip` | 63 | 4 | `pj-garnet-posm-segment` | [dataset](https://universe.roboflow.com/bat-campaign-2/pj-garnet-posm-segment/dataset/4) | |
| | `PJ MVP POSM Segment.zip` | 60 | 4 | `pj-jp-mvp-posm-segment` | [dataset](https://universe.roboflow.com/bat-campaign-2/pj-jp-mvp-posm-segment/dataset/3) | |
| | `PJ Rabel POSM Segment.zip` | 244 | 5 | `pj-rabel-posm-segment` | [dataset](https://universe.roboflow.com/bat-campaign-2/pj-rabel-posm-segment/dataset/4) | |
| | `pj_euphoria_phase_1_posm_segment.zip` | 115 | 5 | `pj_euphoria_phase_1_posm_segment` | [dataset](https://universe.roboflow.com/bat-campaign/pj_euphoria_phase_1_posm_segment/dataset/8) | |
| | `pj_euphoria_posm_segment.zip` | 81 | 4 | `pj_euphoria_posm_segment-y79ah` | [dataset](https://universe.roboflow.com/bat-campaign/pj_euphoria_posm_segment-y79ah/dataset/2) | |
| | `pj_ruby_posm_segment.zip` | 173 | 6 | `pj_ruby_posm_segment` | [dataset](https://universe.roboflow.com/bat-campaign/pj_ruby_posm_segment/dataset/11) | |
| | `pj_sapphire_posm_segment.zip` | 90 | 6 | `pj_sapphire_posm_segment` | [dataset](https://universe.roboflow.com/bat-campaign/pj_sapphire_posm_segment/dataset/4) | |
| | `Planogram_Frame.zip` | 287 | 1 | `planogram_frame` | [dataset](https://universe.roboflow.com/bat-campaign/planogram_frame/dataset/8) | |
| | `Strike POSM Segment.zip` | 329 | 16 | `strike-posm-segment` | [dataset](https://universe.roboflow.com/bat-campaign-2/strike-posm-segment/dataset/7) | |
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|
| ## Folder Layout |
| ```text |
| 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. |
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|
| ## 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. |
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