I will do object detection using yolo, classification and segmentation using python

I offer comprehensive object recognition services utilizing YOLO for classification and segmentation, backed by over 5 years of experience in deep learning and computer vision. Specializing in Python, I provide high-quality solutions for a variety of applications, including custom object detection, medical image processing, anomaly detection, and virtual cloth fitting try-ons. My services also extend to developing web and Android applications with deep learning back-ends and customizable front-ends. With expertise in technologies such as CUDA, NVIDIA, and various microcontrollers like Raspberry Pi, I am well-equipped to tackle complex projects and deliver innovative solutions tailored to your specific needs.

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$450

Published

7 days ago

Description

Introduction of object recognition services using yolo, classification and segmentation using Python

Solutions for Large Scale Applications

With over 5 years of experience in deep learning and computer vision, I offer high-quality solutions for a variety of problems. I work primarily in Python and provide detailed guidance in ReadMe files for easy execution. Additionally, I can develop web applications and Android apps with deep learning back-ends and customizable front-ends. My team of experts can also assist with front-end development.

Some of the problems I can help with include research-based work, custom object detection, nearest video or image retrieval based on patterns, medical image processing, forgery detection, voice cloning, steganography, anomaly detection, product or person counting, neural style transfer, virtual cloth fitting try-on, face detection and recognition, pose estimation, face swap or animation, GANs, and more.

I am proficient in working with various environments such as Windows and LINUX, as well as with technologies like Cuda, NVIDIA, and CuDNN. I also have experience working with micro-controllers like Nano Jetson, Xavier, Tx1, Raspberry Pi, and Arduino.