Answers.Body: <p>Personally, I'd say as long as the object is visible don't do either. If the model has been well built and if lighting changes would help, the convolution operation weights would learn an operation similar to contrast or brightness changes.</p>
  
  <p>On the other hand if the object visibility is an issue, then natural lighting changes would be better, due to the lack of potential artefacts a filter would create.</p>
  
  <p>So overall, I'd say natural lighting changes should be more helpful (Assuming model is built well) and brightness filters would not be very helpful as the convolution operations would learn them if they were useful, also there would be  artefacts in the input which can lead to the model learning irrelevant details.   </p>
  
  <p>Hope this helped! </p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-11-11T07:46:40.280Z
Answers.LastActivityDate: 2019-11-11T07:46:40.280Z
Answers.UserDisplayName: ashenoy
Body: <p>For the purpose of object detection, is it better to adjust the natural lighting (while recording the video) or to apply filters (e.g. brightness filters, etc.) on the original video to make it brighter? </p>
  
  <p>My intuition is that it shouldn't matter when you adjust the natural lighting or do it after with video filters.</p>
  
Tags: <convolutional-neural-networks><object-detection>
Title: Is it better to adjust the natural lighting (while recording the video) or to subsequently apply filters on the original video?
UserDisplayName: NebulousReveal
ThreadText: # Is it better to adjust the natural lighting (while recording the video) or to subsequently apply filters on the original video?
  
  (Asked by: username_0 on 2019-11-10)
  
  For the purpose of object detection, is it better to adjust the natural lighting (while recording the video) or to apply filters (e.g. brightness filters, etc.) on the original video to make it brighter?
  
  My intuition is that it shouldn't matter when you adjust the natural lighting or do it after with video filters.
  
  **Tags:** convolutional-neural-networks, object-detection
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2019-11-11. Score: 1 | Accepted answer
  
  Personally, I'd say as long as the object is visible don't do either. If the model has been well built and if lighting changes would help, the convolution operation weights would learn an operation similar to contrast or brightness changes.
  
  On the other hand if the object visibility is an issue, then natural lighting changes would be better, due to the lack of potential artefacts a filter would create.
  
  So overall, I'd say natural lighting changes should be more helpful (Assuming model is built well) and brightness filters would not be very helpful as the convolution operations would learn them if they were useful, also there would be artefacts in the input which can lead to the model learning irrelevant details.
  
  Hope this helped!
  
  
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