Join our meetup, learn, connect, share, and get to know your Toronto AI community.
Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.
Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.
Github: https://github.com/ACI-Institute/faces4coco
Over half of the 120,000 images in the 2017 COCO(Common Objects in Context) dataset contain people, and while COCO’s bounding box annotations include some 90 different classes, there is only one class for people. Those bounding boxes encompass the entire body of the person (head, body, and extremities), but being able to detect and isolate specific parts is useful and has many applications in machine learning. Detecting faces in particular is useful, so we’ve created a dataset that adds faces to COCO.
submitted by /u/frankcarey
[link] [comments]