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English
$
USD
I will build custom computer vision object detection and tracking systems
Shakeel Khan
About this gig
Need a custom Computer Vision solution for object detection, tracking, or video analysis?
I build practical Computer Vision systems using YOLO, Python, PyTorch, and OpenCV, tailored to your dataset and use case.
What I can build:
Custom object detection with YOLOv8 / YOLO11
Custom model training and fine-tuning
Object tracking with DeepSORT or ByteTrack
Image, video, and real-time inference pipelines
Dataset preparation and annotation review
Small and fast-moving object detection
Object counting and region-based analytics
Model evaluation and performance improvement
Integration with Python applications and APIs
My hands-on work includes training custom YOLO models on 24,000+ images, developing detection and tracking for fast-moving sports objects, and building multi-camera vision systems involving calibration, synchronization, tracking, and 3D reconstruction.
I can also assist with ONNX/TensorRT optimization and deployment workflows where required.
Please message me before ordering for custom training, large datasets, real-time systems, or complex integrations.
Get to know Shakeel Khan
Shakeel Khan
AI Engineer, Computer Vision, AI Agents, Automation
- FromPakistan
- Member sinceSep 2026
Languages
Urdu, English
I’m an AI Engineer specializing in Computer Vision, AI agents, LLM applications, and intelligent automation. I build practical AI systems using Python, PyTorch, OpenCV, YOLO, RAG, APIs, and modern LLM frameworks. My work includes object detection, tracking, multi-camera vision, 3D reconstruction, AI agents, workflow automation, and custom integrations. Through AgentiX Labs AI, I also explore applied AI R&D in real-time perception and digital twins.
My Portfolio
FAQ
What do you need to start my project?
Please share your use case, target objects, sample images/videos, dataset if available, expected output, and whether you need image, video, or real-time inference.
Can you train YOLO on my custom dataset?
Yes. I can train or fine-tune YOLO models on your custom dataset. If your dataset is not ready, I can first review its structure, annotations, classes, and training requirements.
Can you add object tracking to the detection system?
Yes. Depending on the use case, detection can be combined with tracking methods such as DeepSORT or ByteTrack for maintaining objects across video frames.
Can you work with small or fast-moving objects?
Yes. I have practical experience with small, fast-moving object detection and tracking. Results depend on factors such as dataset quality, resolution, motion blur, object size, and camera conditions.
Can you deploy or integrate the trained model?
Integration and deployment can be discussed based on your target environment. I can work with Python applications/APIs and assist with ONNX/TensorRT-oriented optimization where appropriate.
