I will develop custom yolo object detection and computer vision models
Python AI and Machine Learning Developer for Projects and Automation
About this Gig
Need a custom YOLO object detection or computer vision solution for your business or project?
I develop AI-powered object detection systems using YOLO, Python, OpenCV, and deep learning to detect, classify, and track objects in images, videos, and CCTV footage.
WHAT I OFFER:
- Custom YOLO object detection models
- Object tracking and real-time video analysis
- Image classification and segmentation
- Dataset preprocessing and annotation
- Model training, fine-tuning, and evaluation
- Python scripts and OpenCV applications
- FastAPI/Flask integration and deployment
- Source code and model documentation
APPLICATIONS:
- CCTV surveillance and traffic monitoring
- Manufacturing defect detection
- Retail product recognition
- Agriculture and crop monitoring
- Custom computer vision applications
WHY CHOOSE ME?
I'm a Computer Science graduate specializing in AI and Machine Learning. I developed a real-time violence detection system using YOLOv8, CNN, and deep learning.
I deliver practical AI solutions with clean code and clear documentation.
Message me before ordering to discuss your project!
Features and dataset limits depend on your selected package.
APIs:
Microsoft Computer Vision AI
Expertise:
Object detection
•
Anomaly detection
Programming language:
Python
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
SimpleCV
•
PyTorch
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
My Portfolio
FAQ
Which YOLO version do you use for object detection?
YOLOv8 by default (fast, accurate, easy to deploy). YOLOv5 and YOLO-NAS available if your use case needs them.
Can you also handle image classification or segmentation?
Yes — image classification with CNN backbones (ResNet, EfficientNet) and instance/semantic segmentation with YOLOv8-seg or Mask R-CNN. Message me your use case.
What accuracy or mAP can I expect?
Depends on dataset size and quality. With 500+ clean labeled images, mAP@0.5 of 0.7-0.85 is typical. Small or occluded objects reduce this. Honest estimate before you order.
Do you handle data labeling and annotation?
Yes — Standard tier includes up to 200 labeled images, Premium up to 500. Larger jobs at $0.15/image as a custom add-on.
Can you deploy the model with FastAPI or Docker?
Yes — Standard includes FastAPI inference endpoint, Premium includes full Docker cloud deployment.

