Hi there,
Im using ArcGIS Pro 2.9. Have extracted video frames from a multiplexed video to a mosaic dataset and using it as an Image Collection under the Image Classification wizard to create labels on the different frames.
When I export the labels as training data, is it randomly choosing labeled objects from the different frames to create image chips? Or are image chips created from all labeled objects across all extracted frames?
Lastly, when applying the trained model to detect objects and given video frames and moving objects are overlapping, is processing as individual rasters/frames with non maximum suppression better than processing as a mosaicked image?
cheers,
Javier
Solved! Go to Solution.
Hi Javier,
The Exporting of the labelled objects is not random. The image chips are created from all the labelled objects across the labelled frames. Only the frames that have been labelled will be exported.
Second , the training results are the same if you use individual raster and mosaiced image.
Hi Javier,
The Exporting of the labelled objects is not random. The image chips are created from all the labelled objects across the labelled frames. Only the frames that have been labelled will be exported.
Second , the training results are the same if you use individual raster and mosaiced image.