Object Detection

Object detection is a fundamental task in computer vision that focuses on identifying the presence and type of objects in images or video streams.

The outcome of an object detector is a series of bounding boxes that enclose the objects in the image, accompanied by class labels and confidence scores for each box. Object detection is a valuable technique for recognizing objects in a scene without requiring exact knowledge of their location or shape.

Instance Segmentation

Instance segmentation goes a step further than object detection and involves identifying individual objects in an image and segmenting them from the rest of the image. The output of an instance segmentation model is a set of masks or contours that outline each object in the image, along with class labels and confidence scores for each object. Instance segmentation is useful when you need to know not only where objects are in an image, but also what their exact shape is.

Image Classification

Image classification is the simplest of the three tasks and involves classifying an entire image into one of a set of predefined classes.

The output of an image classifier is a single class label and a confidence score. Image classification is useful when you need to know only what class an image belongs to and don't need to know where objects of that class are located or what their exact shape is.

Pose Estimation

Pose estimation is a task that involves identifying the location of specific points in an image, usually referred to as keypoints. The keypoints can represent various parts of the object such as joints, landmarks, or other distinctive features. The locations of the keypoints are usually represented as a set of 2D [x, y] or 3D [x, y, visible] coordinates.

The output of a pose estimation model is a set of points that represent the keypoints on an object in the image, usually along with the confidence scores for each point. Pose estimation is a good choice when you need to identify specific parts of an object in a scene, and their location in relation to each other.