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apex_enemy_detect
PSImera/apex_enemy_detect
apex_enemy_detect is a object detection model from PSImera. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as mit.
All-time downloads
453
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Repo size
72.8 MB
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.pt58.3 MB · 78%
At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- mit
- Access
- Public
- Created
- Jun 29, 2026
- Updated
- Jun 29, 2026
- SHA
- b1eace4c
Model card
From the Hugging Face model README
apex_enemy_detect
YOLOv8 models for detecting enemies in Apex Legends gameplay footage. Two variants: nano (speed) and medium (accuracy).
Apex Enemy Detect Demo — a tool to analyze gameplay videos, detect enemies, and fix stretched resolution issues.
Models
| YOLOv8n (nano) | YOLOv8m (medium) | |
|---|---|---|
| File | apex_detect_v8n_v2.1.pt | apex_detect_v8m_v2.1.pt |
| Parameters | ~3.2M | ~25.9M |
| Precision | 0.932 | 0.943 |
| Recall | 0.877 | 0.883 |
| mAP@50 | 0.930 | 0.938 |
| mAP@50-95 | 0.756 | 0.796 |
| Better for | Speed / low-end GPU | Accuracy |
Usage
from ultralytics import YOLO
model = YOLO("apex_detect_v8m_v2.1.pt")
results = model.predict("frame.jpg", conf=0.35, iou=0.5, imgsz=640)
Or use it automatically via the Apex Enemy Detect Demo app — the models are loaded from here on first run.
Training Setup
| Parameter | Value |
|---|---|
| Dataset | apex_detect_v2_p1_converted |
| Epochs | 200 (patience 100) |
| Batch size | 16 |
| Image size | 640×640 |
| Optimizer | AdamW (lr=0.001) |
| Augmentations | HSV (S/V ±0.3), horizontal flip (p=0.5), random erasing (p=0.4) |
Fine-tuned from Ultralytics COCO pretrained weights on a custom Apex Legends enemy dataset.
Training Curves
<table> <tr><th>YOLOv8n (nano)</th><th>YOLOv8m (medium)</th></tr> <tr> <td><img src="run_v8n_v2.1/results.png"></td> <td><img src="run_v8m_v2.1/results.png"></td> </tr> </table>Precision-Recall Curves
<table> <tr><th>YOLOv8n (nano)</th><th>YOLOv8m (medium)</th></tr> <tr> <td><img src="run_v8n_v2.1/BoxPR_curve.png"></td> <td><img src="run_v8m_v2.1/BoxPR_curve.png"></td> </tr> </table>- Task
- Object Detection
- Library
- ultralytics
- License
- mit
- Created
- Jun 29, 2026
- Updated
- Jun 29, 2026