Jan. 28, 2024, 6:02 p.m. | Maciej Balawejder

Towards AI - Medium pub.towardsai.net

One of the unfortunate properties of computer vision models is that performance deteriorates with time, leading to less reliable results. Since these models are trained on static images when deployed in production environments with constantly changing data, the patterns they’ve learned become outdated.

Think about the road sign detection model in cars. If the country decides to replace older road signs with newly designed ones, the model will have difficulty identifying them. As a result, the driver could get inaccurate …

become cars computer computer vision data detection environments images mlops monitoring patterns performance production production environments satellite-imagery think vision vision models

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