I will develop yolov8 models for object detection and tracking
Python Developer and Computer Vision Expert
About this Gig
I will build custom YOLOv8 computer vision models to detect, track, and analyze objects in images and videos with high accuracy and real-world performance.
I specialize in building production-ready AI systems using YOLOv8, OpenCV, and PyTorch for real-world applications like safety monitoring, surveillance, automation, and visual analytics.
What I can build for you
- Custom Object Detection Models (YOLOv8)
- Object Tracking in Videos
- Image & Video Segmentation
- PPE / Safety Detection Systems
- Face Detection & Recognition Systems
- Real-time Webcam Detection Apps
- Model Training on Custom Dataset
- Performance Optimization of Existing Models
Tools & Tech
Python, YOLOv8, OpenCV, PyTorch, NumPy, Roboflow, Streamlit, Google Colab
Use Cases
- Factory / Workplace safety monitoring
- CCTV surveillance systems
- Retail analytics (people/object tracking)
- Smart automation systems
- Research or academic CV projects
Why me?
Trained custom YOLO models with +35% accuracy improvement
Experience in real-time detection systems
Strong optimization focus (speed + accuracy)
Clean, production-ready code
APIs:
Google Cloud Vision API
Expertise:
Image processing
•
Classification
•
Object detection
Programming language:
Python
•
Colab
Tools:
OpenCV
•
TensorFlow
•
PyTorch
Frameworks:
PyTorch
•
Panda
My Portfolio
FAQ
Can you train custom YOLOv8 models?
Yes, I can train models for object detection, segmentation, classification, and pose estimation.
Can you work with custom datasets?
Yes, I can clean, prepare, annotate, and train on custom datasets.
Can you deploy the solution?
Yes, I can deploy locally, on cloud servers, or through a Streamlit web application.

