I will build computer vision app for object detection and tracking
AI, Automation and Computer Vision Solutions for real world problems
About this Gig
I specialize in developing custom computer vision solutions to detect, track, and analyze objects in images, videos, and live camera streams. My solutions are accurate, scalable, and production-ready, suitable for applications like security systems, retail analytics, traffic monitoring, and AI automation.
Services I offer:
Image & video preprocessing (noise reduction, resizing, augmentation)
Dataset preparation and image annotation
Object detection & classification using YOLOv5/v8, SSD, EfficientDet, Detectron2
Object tracking & counting with DeepSORT and ByteTrack
Image segmentation using Mask R-CNN and U-Net
Deployment as desktop apps, REST APIs (Flask/FastAPI), or cloud services
Frontend integration for live stream visualization and analytics dashboards
Tools & Frameworks: OpenCV, TensorFlow, PyTorch, Keras, Scikit-learn, Flask, FastAPI, Google Colab, Jupyter.
Languages: Python, SQL, HTML/CSS, Node.js.
I deliver clean, well-documented code and reliable AI models ready for integration.
Please contact me before placing an order to discuss your project requirements.
Other Data Science & ML Services I Offer
FAQ
What type of models do you train?
I work with popular, high-accuracy object detection models like YOLOv5/v8, SSD MobileNet, EfficientDet, and Detectron2.
Can you deploy the model for me?
Yes, in the Premium package, I can deliver the model as a desktop app or API ready to use.

