Bounding Boxes
Bounding boxes is one of the most popular and recognizable image annotation method used in machine learning and deep learning. Bounding boxes arevery useful in object classification in images and localize them for computer vision.
Semantic Segmentation
semantic segmentation is one of the high-level task that paves the way towards complete scene understanding. Semantic segmentation achieves fine-grained inference by making dense predictions inferring labels for every pixel, so that each pixel is labeled with the class of its enclosing object ore region.
Polygons
Train your computer vision models with superior, pixel accurate image recognition.
Key Points
Key point detection involves simultaneously detecting people and localizing their key points. Key points are the same thing as interest points. They are spatial locations, or points in the image that define what is interesting or what stand out in the image. They are invariant to image rotation, shrinkage, translation, distortion, and so on.
Lane labelling
Key point detection involves simultaneously detecting people and localizing their key points. Key points are the same thing as interest points. They are spatial locations, or points in the image that define what is interesting or what stand out in the image. They are invariant to image rotation, shrinkage, translation, distortion, and so on.