Video Classification

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Video Classification

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You will identify the key columns after uploading your data.
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Choose the folder that contains your labeled video clips. Nested folders are fine when labels.csv uses the same relative paths.

    

    

        
        
        
Upload a ZIP that contains the same relative paths referenced in labels.csv.

    






    
    
    
Upload a label file that pairs each video path with its label. Use columns named filename and target; aliases such as path, video_name, label, and tag are accepted.






    

        
        
        
Choose the column containing relative video file paths, for example filename or video_name.

    

    

        
        
        
Choose the class label column, for example target, label, or tag.

    

    

        
Upload a manifest to inspect its columns.

    

    

        

            Input role: Media services learn features from the uploaded files. The manifest only needs the media path column and target label column; generic feature-column selection is not used.
        

    







                

                    

    

        

            
Check your data

            
Find problems before training starts.

            
Check the file for missing information, unsuitable columns, and other issues that may affect the results.

        

        

            
            
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Data check

                
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Resolve blocking issues, review warnings, then choose models and start training.

            

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Step 4

                            
Choose what to compare, then start

                            
Your recommended setup appears after the data check is complete.

                        

                    


                    

                        

                            

                                
Recommended setup

                                
Start with the balanced comparison.

                                
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Before you start

                                
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