---
license: cc-by-nc-4.0
task_categories:
- object-detection
tags:
- apex-legends
- gaming
- enemy-detection
- yolo
- computer-vision
size_categories:
- 1K<n<10K
configs:
- config_name: default
  data_files:
  - split: train
    path: images/train/*.png
  - split: validation
    path: images/val/*.png
---

# Apex Legends Enemy Detection Dataset

Dataset for detecting players in Apex Legends gameplay footage.  
**4 921 frames** — 2 classes: `enemy`, `mate`.

## Dataset Structure

| Split | Images | Labels |
|-------|-------:|-------:|
| train |  3 937 |  3 937 |
| val   |    984 |    984 |

```
images/
  train/   # 3937 × .png
  val/     # 984  × .png
labels/    # YOLO .txt, mirrors images/
dataset.yaml
```

## Annotation Format

**YOLO** — each `.txt` contains one row per bounding box:

```
<class_id> <cx> <cy> <w> <h>   # normalized [0..1]
```

| class_id | label  |
|----------|--------|
| 0        | enemy  |
| 1        | mate   |

## Source

Frames extracted from Apex Legends gameplay recordings (DVR captures).  
Labeled manually using CVAT.

## License

[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) — **non-commercial use only**.

Apex Legends is a trademark of Electronic Arts Inc. / Respawn Entertainment.  
All game assets depicted in the images remain the property of their respective owners.  
This dataset is intended solely for academic research and non-commercial purposes.