Understanding Image Recognition and Object Detection

 Image recognition and object detection are similar techniques and are often used together. Image recognition identifies which object or scene is in an image; object detection finds instances and locations of those objects in images. 

Common object detection techniques are Faster R-CNN and YOLOv3.

Why Image Recognition Matters ?

      Image recognition can speed up tedious tasks and process images faster or more accurately than manual image inspection. Image recognition is a crucial technique in many applications, and is the main driver in deep learning applications like:

Visual Inspection: Identifying parts as defective or non-defective in manufacturing can quickly inspect thousands of parts on an assembly line.

Image Classification: Categorizing images based on the image content. This is especially useful in applications such as image retrieval and recommender systems in e-commerce.

Automated Driving: The ability to recognize a stop sign or a pedestrian in an image is crucial to autonomous driving applications.

Robotics: Image recognition can be used by robots to identify objects and enhance autonomous navigation by identifying locations or objects on their path.