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VisualCortex streamlines workflow for computer vision models with Weights & Biases developer-first MLOps platform

At that and make sure we tag and review the footage and making sure the right thing is being tagged, are we getting false positives or false negatives? trying to minimise those elements so that what we see is accurate. so you're actually using a little bit of a human element to teach them context. that's quite a difficult thing for an al to learn on its own. vision technology can identify what a box is or what a mattress is, but it doesn't know whether that's good or bad. i can see shadowy figures dropping off rubbish. it has a green box marked around there. what has it identified? this is one...

Environment. the cameras collect a lot of date of movement in the environment. data scientists will look at that and make sure we tag and review the footage and making sure the right thing is being tagged, are we getting false positives or false negatives? trying to minimise those elements so that what we see is accurate. so you're actually using a little bit of a human element to teach them context. that's quite a difficult thing for an al to learn on its own. vision technology can identify what a box is or what a mattress is, but it doesn't know whether that's good or bad. i can see shadowy ...

We getting false positives or false negatives? trying to minimise those elements so that what we see is accurate. make sure you're actually using a little bit of a human element to teach them context. that's quite a difficult thing for an al to learn on its own. vision technology can identify what a box is or what a mattress is, but doesn't know whether it is good or bad. i can see shadowy figures dropping off rubbish. what has it identified? this is one of the computer vision models we use. it is detecting rubbish that has come into the scene of the camera. you may recognise the person pushin...