cwt Computer Vision Project

Here are a few use cases for this project:

1. Quality Control in Manufacturing: Use the "cwt" computer vision model to identify defects or sound items in products coming off a manufacturing line, enabling efficient sorting and reducing the number of defective products reaching consumers.

2. Image-based Infrastructure Inspection: Apply the "cwt" model to analyze images of infrastructures such as bridges, roads, and buildings, and classify them as either having defects or being sound, allowing for efficient identification of maintenance needs and prioritization of repairs.

3. Medical Imaging Analysis: Utilize the "cwt" model to spot defects or sound tissue in medical images, such as X-rays and MRIs, assisting medical professionals in making a faster and more accurate diagnosis.

4. Art Restoration and Analysis: Implement the "cwt" model to identify areas of damage or degradation in artworks, as well as distinguishing between original and restored sections, streamlining the art restoration process and helping create historical records of the artworks' conditions.

5. Agriculture and Crop Health Monitoring: Use the "cwt" computer vision model to analyze aerial or satellite imagery of crops, identifying areas of healthy growth (sound) and detecting signs of disease, pests, or other crop damage (defect), allowing for optimized resource allocation and crop yield predictions.