Generate image embeddings using a pre-trained CNN and store them in Hub

This text discusses image embeddings and their significance in computer vision. It explains that an image embedding is a lower-dimensional representation of an image, which can be used for various tasks such as classification. The process of generating image embeddings using a pre-trained CNN like ResNet-18 is detailed. Furthermore, the text demonstrates how to store these embeddings and their corresponding images in Activeloop Deep Lake, making them easily accessible for diverse tasks. Finally, it mentions that embeddings are widely used across industries such as AgriTech, Autonomous Vehicles & Robotics, Audio Processing & Enhancement.