Revision history [back]

Hello, I would like to know if there is a metric to measure the robustness to changes in lighting or different sources of light such as sun at sunrise, sun at noon, only at dusk, incandescent focus, low consumption focus, etc. That is, if you want to test a computer vision application in different lighting conditions such as those mentioned above, how could you measure that robustness in the application? Specifically, if I am doing object detection and want to test if my application still works in different lighting conditions. I do not know there is any unit of measurement in the international system or any metric that is used exclusively in computer vision. Thanks in advance.

Hello, I would like to know if there is a metric to measure the robustness to changes in lighting or different sources of light such as sun at sunrise, sun at noon, only at dusk, incandescent focus, low consumption focus, etc. That is, if you want to test a computer vision application in different lighting conditions such as those mentioned above, how could you measure that robustness in the application? Specifically, if I am doing object detection and want to test if my application still works in different lighting conditions. I do not know there is any unit of measurement in the international system or any metric that is used exclusively in computer vision. Thanks in advance.

Hello, I would like to know if there is a metric to measure the robustness to changes in lighting or different sources of light such as sun at sunrise, sun at noon, only at dusk, incandescent focus, low consumption focus, etc. That is, if you want to test a computer vision application in different lighting conditions such as those mentioned above, how could you measure that robustness in the application? Specifically, if I am doing object detection and want to test if my application still works in different lighting conditions. I do not know there is any unit of measurement in the international system or any metric that is used exclusively in computer vision. Thanks in advance.