# NameFrame sample dataset: Airbase every-modality sample

Generated by NameFrame from a real Unreal Engine 5.8 capture. Every label in this pack was
derived from the engine's own per-instance ID buffer, not from a model and not by hand.

    Map            Map_Airbase_Demo
    Frames         3 of 40 in the run
    Instances      562 in these frames
    Resolution     1920 x 1080
    Master seed    67
    Config hash    e940fe63a1198cb9abc634330de558b19de566e60ec4c6fa0043b71001110f9e

## What is in here

- `images/` rendered RGB frames, unmodified PNG
- `segmentation/` per-instance ID buffers, one colour per instance
- `labels/` YOLO boxes, one text file per frame
- `annotations/instances.json` the same labels in COCO format
- `metadata/` per-frame camera, actor and spawn-manifest records
- `reports/` this capture's own report and validation output
- `capture.json` the run contract: classes, camera policy, seed
- `data.yaml` class names, ready for a YOLO trainer
- `depth/` float32 metres per pixel, as NumPy .npy arrays

## Honesty notes

- `reports/report.json` contains the verification checks this capture recorded, including
  the one that did not pass: 3/90 of the visible people in the checked sample lost
  their box to a neighbouring instance's colour. It is included on purpose.
- The class balance is uneven, because the scene is uneven. See `reports/report.json`.
- Camera placements come from four authored zones looking at a target, so the viewing
  angles and distances in this pack cover a narrow band. It is a sample, not a benchmark.

## Terms

Provided for evaluation of NameFrame. The rendered imagery depicts third-party Unreal
Engine content; see TERMS.txt before redistributing.

https://getnameframe.com
