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Python Code for Road Extraction with Yolo UNET (INR 500)

₹600-1500 INR

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已发布27 天前

₹600-1500 INR

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I am in need of an adept Python programmer with proficiency in running code for road extraction datasets utilizing Yolo and UNET. Key Features: - Expertise in Python is non-negotiable as the project demands code implementation in the said language. - Prior experience with Yolo and UNET is highly desired, having a strong background in image processing and handling road extraction datasets. HAVING THE CODE AND DATASETS NEED TO BE RUNNED
项目 ID: 38019702

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Greetings Hiring Manager, I am writing in response to your job listing for the role of Vision Engineer posted on Freelancer posted the 25th of April 2024. I would like to express my interest in this position. With my passion and drive in the Computer Vision field, and my experience of implementing and maintaining machine learning algorithms and models, I believe I am a good fit for this role. One of my key strengths lies in ML model versioning and deployment. I have a deep understanding of development in object detection and segmentation algorithms, ensuring tailored customizations & result oriented solutions that precisely meet client needs. With over a year’s experience in computer vision and deep learning, I am well-equipped to contribute effectively to your company as a Computer Vision Engineer). I have a deep understanding of state-of-the-art algorithms like yolo, resnet, hrnet and unet. I strive to ensure seamless deployment and writing clean, dynamic and reusable programming practises on all my tasks. I am also committed to result oriented output. I think my skills align with your problem statement and i can help you achieve your output faster than desired expectation. If you have any questions free to reach out to me at +918408917898 between 3pm-8pm. I am available to start working at your convenience. References will be shared on request. Thank you for your time and for considering my application. Best regards, Shashwat Tripathi
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INDIA的国旗
Chennai, India
5.0
5
会员自9月 20, 2023起

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