I will build and deploy a custom yolov8 object detection model with rest API

Need a custom object detection model that actually works in production? 

I build and deploy YOLOv8 models trained on your dataset, wrapped in 

a FastAPI REST endpoint you can call from any app.

My proof: I built VISTA a real-time crowd surveillance system using 

YOLOv8x + TensorRT. Reduced inference latency from 28ms to 11ms 

(60% speedup). Also built BusBuddy, a YOLOv8 bus occupancy estimator 

that won Solevathon 5.0.

What I deliver:

- YOLOv8 model trained on your custom dataset

- Inference script with bounding box visualization

- FastAPI REST endpoint (send image, get detections back)

- Docker container ready to deploy

- Performance benchmark report

- GitHub repo with clean code and README

Works for: security cameras, retail analytics, medical imaging, 

manufacturing defect detection, traffic monitoring, any visual 

detection task.

Message me before ordering with your dataset size and number of 

classes. I'll confirm feasibility within 2 hours.