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."
We seek to provide a respectful, friendly, professional experience for everyone, regardless of gender, sexual orientation, physical appearance, disability, age, race or religion. We do not tolerate any behavior that is harassing or degrading to any individual, in any form. The Code of Conduct will be enforced.
All live stream organizers using the Global Azure brand and Global Azure speakers are responsible for knowing and abiding by these standards. Each speaker who wishes to submit through our Call for Presentations needs to read and accept the Code of Conduct. We encourage every organizer and attendee to assist in creating a welcoming and safe environment. Live stream organizers are required to inform and enforce the Code of Conduct if they accept community content to their stream.
If you are being harassed, notice that someone else is being harassed, or have any other concerns, report it. Please report any concerns, suspicious or disruptive activity or behavior directly to any of the live stream organizers, or directly to the Global Azure admins at firstname.lastname@example.org. All reports to the Global admin team will remain confidential.
We expect local organizers to set up and enforce a Code of Conduct for all Global Azure live stream.
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/.