Posted: Mar 10, 2025
YOLO (OpenCV) Expert for Reviewing AI-Generated Code & Responses
Computer Code/ProgrammingComputer Programming/CodingEnglishPay Per Hour
Project Overview
We are looking for a highly experienced OpenCV and YOLO (You Only Look Once) developer with at least 5+ years of hands-on experience in computer vision, deep learning, and real-time object detection. The ideal candidate should have expertise in OpenCV for image processing, YOLO (v4, v5, v7, v8) for object detection, model training and optimization, and real-time inference acceleration using hardware like CUDA/TensorRT. A strong understanding of image preprocessing, feature extraction, bounding box regression, and deep learning frameworks (PyTorch/TensorFlow) is required. Additionally, excellent English writing skills are necessary to provide clear, structured, and well-explained feedback. Experience with code reviews, debugging, and technical documentation is a plus. The task involves reviewing AI-generated prompts and responses related to OpenCV and YOLO. You will assess whether the AI-generated code, explanations, and recommendations are technically accurate, efficient, and aligned with best practices in computer vision and deep learning. This includes verifying code correctness, performance optimization, proper use of OpenCV functions, and the effectiveness of YOLO models in real-world applications. Your feedback will help refine AI-generated responses, ensuring they provide accurate, optimized, and practical solutions for developers using OpenCV and YOLO in their projects.
Entry Level
Estimated Total Project Earnings
$6,000
Pay per Hour
$30/hr
Time Requirement
Less than 20 hrs/week
Duration
< 1 month
Labelers Needed
2
Description of dataset
opencv (yolo)
Hiring Type
Agency or Individual
Required Location
IndiaWorkload / Schedule
Flexible schedule - Can start immediately
Data Type
Computer Code/Programming
Task Types
Computer Programming/Coding
Subject Matter / Industry
opencv (yolo) AI Generated Code
Language
English
Service Model
OpenTrain managed project
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