Leveraging Transfer Learning in Computer Vision for Quick Wins
Leveraging Transfer Learning in Computer Vision for Quick Wins
Image by Editor | Midjourney
Computer vision (CV) is a field where machines learn to “see” and understand images or videos. It helps machines recognize objects, faces, and even actions in photos or videos. For example, CV is used in self-driving cars to detect road signs and people, or in medical scans to spot diseases. Training a CV model from scratch can take a lot of time, data, and computer power.
Transfer learning is a method where you use a model that’s already been trained on similar data. Instead of starting from