MoKan Goodwill and York Exponential Computer Vision Machine Learning
Project Mission
The force of technology is changing the landscape of our workforce. This has generated a skills gap – the gap between the skills that workers have and the ones that they need. As companies adopt technologies like automation, robotics, and Artificial Intelligence, there is a need to reskill and upskill the existing workforce. There is no better time to learn about skills like data annotation.
Goodwill is conducting a visionary project to determine whether computer vision machine learning can accurately identify a clothing item’s size, type, fabric composition, and quality. This unique model will improve Goodwill’s retail operations by getting higher quality products out to sell, increasing sell through rate, and raising more funds for our mission. This work could potentially scale to the more than 3,200 retail locations in the Goodwill network.
Students worked with Goodwill and York Exponential to undergo training related to these skills around data annotation and machine learning. Students then worked on developing the dataset Goodwill needed to build their machine learning algorithm in order to detect a defect from a picture. The student's piece was crucial for the development of the model.
Project Details
- Students developed skills in labeling content, creating data, and using web-based annotation tools.
- Students contributed to a dataset to detect defects
Skills
- Data Annotation
- AWS
- Machine Learning Techniques