Image Recognition Model Enhancement for Condition Reporting

Project scope
Categories
Information technology Software development Machine learning Artificial intelligence Data scienceSkills
data preprocessing product classification ibm system p convolutional neural networks (cnn) business metrics performance metric performance appraisal machine learning image recognition object detectionThe project focuses on enhancing Gluu's multi-modal image recognition model to improve the accuracy and efficiency of condition reporting for client products. The goal is to develop a custom Convolutional Neural Network (CNN) and integrate You Only Look Once (YOLO) object detection techniques to better identify and classify product conditions.
This project will allow learners to apply their knowledge of machine learning, computer vision, and neural networks to a real-world application. By focusing on CNN and YOLO, the project aims to create a robust system capable of handling diverse product images and providing precise condition assessments.
The project will involve tasks such as data preprocessing, model training, and performance evaluation, all of which are crucial for developing a reliable image recognition system.
The deliverables for this project include a fully functional CNN model tailored for condition reporting, integrated with YOLO for object detection. Additionally, a comprehensive report detailing the model's architecture, training process, and performance metrics will be provided. The project will also deliver a set of test cases and validation results to demonstrate the model's effectiveness in real-world scenarios.
Providing specialized, in-depth knowledge and general industry insights for a comprehensive understanding.
Sharing knowledge in specific technical skills, techniques, methodologies required for the project.
Direct involvement in project tasks, offering guidance, and demonstrating techniques.
Providing access to necessary tools, software, and resources required for project completion.
Scheduled check-ins to discuss progress, address challenges, and provide feedback.
About the company
Modern Technology: with the incorporation of AI Appraisals and a digital collection, owners of heritage and legacy items can digitize their high value items.
Privacy: Users will be able to privately digitize and share their collections for potential trades and loans in a secure and private platform, protecting both their personal information and their valued items.
Marketplace and Trades: Complex heritage items and high value designer items will be appraised and using AI, will match the client with expert repair people. Items will be featured in their personalized catalog for loaning, resale, or trades.