Datasets:

PSImera
/

apex_enemy_detect

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 — 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.