I will do yolov8 object detection and real time computer vision in python
AI Automation Expert, n8n Workflows, AI Agents, Full Stack AI Apps
Informazioni su questo servizio
Need a custom YOLOv8 object detection or real-time computer vision system built for your use case?
I build production-ready Computer Vision solutions using Python, YOLO, OpenCV and deep learning, from model training to real-time processing and deployment.
I can help you build:
- Custom YOLOv8 object detection models
- Real-time image, video and webcam detection
- Industrial defect detection and quality inspection
- Instance segmentation and image analysis
- Custom dataset training and optimization
- FastAPI inference APIs
- Streamlit/Gradio demo applications
- Dockerized CV solutions
- Jetson/Raspberry Pi edge deployment
- Computer vision MVPs and prototypes
Every project starts with a clear review of your dataset, accuracy goals, hardware and deployment requirements.
You receive clean source code, evaluation metrics and a thoroughly tested solution ready for your workflow.
My stack includes Python, YOLOv8, OpenCV, PyTorch, FastAPI, Docker and Streamlit.
Have a custom Computer Vision project?
Message me with your requirements and dataset before ordering, and I'll recommend the right approach.
Framework:
Scikit-learn
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Google ML Kit
•
keras
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PyTorch
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Panda
Il mio portfolio
FAQ
Can you train YOLO on my custom dataset?
Yes. I can train and optimize a custom YOLO model using your labeled dataset and provide evaluation metrics such as precision, recall and mAP.
Can you build real-time object detection?
Yes. I can build real-time detection for images, videos, webcams and live streams using YOLO, OpenCV and Python.
What if my dataset is not ready?
I can review your dataset, recommend the required structure and help with preparation, annotation strategy and preprocessing based on your project requirements.
Can you deploy the model?
Yes. Depending on your package, I can provide FastAPI integration, Docker deployment, Streamlit/Gradio apps and compatible edge deployment for Jetson or Raspberry Pi.
What do you need before starting?
Please share your use case, target objects/classes, available dataset, expected output, accuracy or performance goals, and where the final system needs to run.

