| --- |
| 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. |
| |
