GOOD ML Computer Vision Project

Here are a few use cases for this project:

1. Quality Control in Manufacturing: Utilize GOOD ML to inspect various products on the assembly line, ensuring that they meet quality standards. By identifying bounding classes of individual components, the model can quickly detect incorrect assembly, misaligned parts, or missing elements in the final product.

2. Recycling and Waste Management: Use the GOOD ML model to streamline the process of sorting waste and recyclable items at waste treatment facilities. Identifying objects' bounding classes can help machines separate objects more efficiently and reduce the manual labor needed for sorting.

3. Inventory Management: Implement the GOOD ML model in warehouses or retail stores to monitor products on shelves and track stock levels. Bounding class identification can enable automatic restocking notifications, as well as catch misplaced items in real-time.

4. Object Recognition for Autonomous Vehicles: Equip self-driving vehicle systems with the GOOD ML model to enhance road safety by identifying and categorizing different objects in its environment. detections of bounding classes can help the vehicle system make more informed decisions, avoiding obstacles, and navigating complex scenarios.

5. Assisting Visually Impaired Users: Create assistive technology with the help of the GOOD ML model to help visually impaired users identify everyday objects. By quickly detecting various bounding classes, the software can describe objects to users and provide useful context about their surroundings.