Object detection is a form of computer vision in which artificial intelligence (AI) agents can identify and locate specific types of objects in an image or camera feed.It is a technology related to computer vision and image processing that deals with detecting and locating objects of a certain class (such as humans, buildings, or cars) in digital images and videos. It is widely used in computer vision tasks such as image annotation, vehicle counting, activity recognition, face detection, face recognition, video object co-segmentation etc.
"Experienced and dedicated data scientist with 3+ years of experience identifying efficiences and problem areas within data streams,while communicating needs for projects in DS,ML,AI and NLP. Currently working with ValueMomentum as an Software Engineer Data Leverage (LOB) and in handling multiple tasks from backend coding to frontend design."
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A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.