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| ▲ | pcl 20 hours ago | parent | next [-] |
| In the industry, that’s known as face (or facial) detection, which is a different problem than face recognition. Face recognition means computing which individual from some other database of people a particular face belongs to. There’s also face tracking — detecting a face in an image and then tracking the same face across subsequent images. Which is often implemented by using a face recognition approach, but without any predefined catalog of people — you just dynamically fill up your face database as faces appear in the image sequence / video source. |
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| ▲ | theshrike79 11 hours ago | parent | prev | next [-] |
| https://yolov8.com/ It detects objects and gives you the bounding box. Then you draw a square on it and add a label. No fancy LLM needed, just old fashioned machine learning models. |
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| ▲ | dotancohen 21 hours ago | parent | prev | next [-] |
| It was detecting faces, not recognizing them. Recognition implies associating the faces with an ID. |
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| ▲ | Gigachad 21 hours ago | parent | prev | next [-] |
| Parent comment is saying the system wasn’t linking the faces to real names, just detecting a face in general. |
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| ▲ | Eisenstein 21 hours ago | parent | prev [-] |
| 'Face detection' means it can detect faces. 'Face recognition' means it recognizes the faces. A specific example of the difference: license plate detection will detect the presence of a license plate; license plate recognition will tell you the number on that plate. |
