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I will build yolo object detection, image segmentation computer vision system
AI Automation, AI Agents, LLMs, Machine Learning, Computer Vision
I'm an AI Engineer with 4+ years building production-ready AI Automation, AI Agents, Multi-Agent Systems, Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, LLMs, RAG, AI Fine-Tunin...
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
Highly Responsive
Known for exceptionally quick replies
About this Gig
Still reviewing images, video, or live camera feeds manually when Computer Vision AI could detect what matters in real time?
I build custom YOLO object detection and image segmentation computer vision systems that turn visual data into detections, tracking, counts, alerts, and usable business outputs. With 7 years in tech and 4+ years building production-ready AI systems, I focus on solutions that move beyond a demo and work inside your workflow.
What this system can do:
- Visual Inspection AI for defects and quality issues
- CCTV analytics for people, vehicles, zones, and safety events
- YOLO detection, object tracking, counting, and image recognition
- Real-time video analytics AI for traffic, logistics, retail, and operations
- Machine vision, OpenCV AI, and image processing apps
Why clients trust this build:
- Custom AI object detection and computer vision models for your data
- Full documentation plus walkthrough tutorial.
- PyTorch, TensorFlow, API, Docker, cloud, or edge deployment
- Precision, recall, mAP, FPS testing, source code, and documentation
Send me your dataset or sample video & I will map the right approach free before you order. Limited slots monthly so reserve your slot now.
APIs:
Microsoft Computer Vision AI
•
Other
Programming language:
Python
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SQL
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
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CVAT
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Colab
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PyTorch
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Other
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Other
My Portfolio
FAQ
What types of AI computer vision systems can you build?
I build AI-powered YOLO object detection, image segmentation, object tracking, image recognition and video analytics systems for images, recorded video and real-time camera feeds.
Can you train a custom YOLO object detection model on my dataset?
Yes. I can train and fine-tune a custom YOLO model on your labeled dataset and provide testing results, model files and source code.
Do you provide image segmentation?
Yes. I can build image segmentation solutions for precise object or region identification using YOLO segmentation and other suitable deep-learning models.
Can you add object tracking to the computer vision system?
Yes. I can combine AI object detection with object tracking for people, vehicles, products, sports objects and other video-analysis use cases.
Which tools do you use?
I work with YOLO, OpenCV, PyTorch, TensorFlow, Python, FastAPI and Docker, selecting the stack based on your accuracy, speed and deployment requirements.
Can you build a real-time computer vision application?
Yes. Premium projects can include real-time camera/video processing, object detection, segmentation, tracking, APIs, logging and dashboard integration.
Can you help with image annotation and data labeling?
Yes. I can review your dataset and provide or scope image annotation, bounding boxes, segmentation masks and data labeling as an additional service.
Can you deploy the system to cloud or edge hardware?
Yes. Depending on scope, I can deploy computer vision applications to cloud/VPS environments, Docker or compatible edge hardware such as NVIDIA Jetson.
What metrics will you provide for my YOLO model?
Depending on the project, I can provide precision, recall, mAP, confusion matrix and inference performance such as FPS or latency.
Should I contact you before ordering?
Yes. Computer vision projects vary by dataset, accuracy targets, number of classes, camera setup and deployment environment. Please message me first so I can confirm the correct package.
