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I will do object detection, segmentation using yolo
Full Stack Computer Vision Developer
I build real-time, high-performance computer vision systems for retail, security, and manufacturing—deployable on both desktop and edge devices.
Expert in object detection, tracking, smart surveillan...
About this Gig
Hi there! Looking for expert assistance on your AI projects? You've found the right person!
What I Offer:
- Computer vision solutions: Detection, tracking, segmentation, object recognition, and more.
- Advanced Data Science: End-to-end solutions for analytics, visualization, predictive modeling, and optimization.
- Training, fine-tuning, and deployment of AI models
- Generative AI Applications
- Automate workflows and optimize business processes using tailored AI and Machine Learning models.
Common models/frameworks I use:
- Object Detection: YOLO (v4, v5, v7 up to 11), Mask-RCNN, Faster-RCNN, DETR, Deformable-DETR
- Object Tracking: SORT, DEEP-SORT, ByteTrack, OpenCV Trackers, Trackformer, Transtrack, MOT3R
- Image Segmentation: Mask-RCNN, U-NET, SegFormer
- OCR Solutions: TesseractOCR, PaddleOCR.
- VLM: Qwen ,Deepseek vlm , Smol vlm etc
Before placing an order discuss requrements
My Portfolio
FAQ
Can you handle object tracking in videos with frequent occlusions?
Yes, using Deep-SORT or ByteTrack to handle occlusions with appearance/motion features.
What OCR tools do you use for low-quality or distorted text images?
VLM and PaddleOCR for superior performance on low-quality or distorted text.
How do you handle fine-grained image segmentation for medical imaging or satellite data?
I use U-Net or SegFormer for high-precision segmentation in medical/satellite imagery.
What frameworks do you use to deploy AI models on edge devices with limited compute?
TensorFlow Lite, ONNX Runtime, or PyTorch Mobile for lightweight edge deployment.
Do you have Experiance with Rasspi and Jetson
Yes.
