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.
| Shop Location | Auckland, New Zealand |
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