Is there any augmentation tool for images and bounding boxes?












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I don't have a lot of training data and I'm looking for some tools in python or executable program like labelimg that do some heavy augmentation on images, even better if they also change bounding boxes coordinate accordingly. Any help will be appreciated!










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    2












    $begingroup$


    I don't have a lot of training data and I'm looking for some tools in python or executable program like labelimg that do some heavy augmentation on images, even better if they also change bounding boxes coordinate accordingly. Any help will be appreciated!










    share|improve this question











    $endgroup$















      2












      2








      2





      $begingroup$


      I don't have a lot of training data and I'm looking for some tools in python or executable program like labelimg that do some heavy augmentation on images, even better if they also change bounding boxes coordinate accordingly. Any help will be appreciated!










      share|improve this question











      $endgroup$




      I don't have a lot of training data and I'm looking for some tools in python or executable program like labelimg that do some heavy augmentation on images, even better if they also change bounding boxes coordinate accordingly. Any help will be appreciated!







      python computer-vision tools data-augmentation






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      edited 7 mins ago









      AlexK

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      asked Mar 18 at 4:01









      Hoang Dang TuanHoang Dang Tuan

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          $begingroup$

          I think you should look into imgaug. It supports most image augmentation and does have support for bounding boxes.



          Docs: https://imgaug.readthedocs.io/en/latest/






          share|improve this answer









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          • $begingroup$
            Thank a lot Simon! Just what I'm looking for
            $endgroup$
            – Hoang Dang Tuan
            Mar 19 at 6:17



















          1












          $begingroup$

          Other widely used Python libraries for data augmentation include:





          • OpenCV: has functions/methods for bounding boxes, changing color space, scaling, cropping, translation, rotation, filters, blur, thresholding, etc.


          • Scikit-image: also has features allowing converting from another color space to another, resizing/rescaling/rotating, erosion/dilation, filters, etc.


          • Pillow: also has features for color space conversion, resizing/rotation/cropping, filters, pixel-level transformations, etc.






          share|improve this answer










          New contributor




          AlexK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
          Check out our Code of Conduct.






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            2 Answers
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            2 Answers
            2






            active

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            active

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            active

            oldest

            votes









            2












            $begingroup$

            I think you should look into imgaug. It supports most image augmentation and does have support for bounding boxes.



            Docs: https://imgaug.readthedocs.io/en/latest/






            share|improve this answer









            $endgroup$













            • $begingroup$
              Thank a lot Simon! Just what I'm looking for
              $endgroup$
              – Hoang Dang Tuan
              Mar 19 at 6:17
















            2












            $begingroup$

            I think you should look into imgaug. It supports most image augmentation and does have support for bounding boxes.



            Docs: https://imgaug.readthedocs.io/en/latest/






            share|improve this answer









            $endgroup$













            • $begingroup$
              Thank a lot Simon! Just what I'm looking for
              $endgroup$
              – Hoang Dang Tuan
              Mar 19 at 6:17














            2












            2








            2





            $begingroup$

            I think you should look into imgaug. It supports most image augmentation and does have support for bounding boxes.



            Docs: https://imgaug.readthedocs.io/en/latest/






            share|improve this answer









            $endgroup$



            I think you should look into imgaug. It supports most image augmentation and does have support for bounding boxes.



            Docs: https://imgaug.readthedocs.io/en/latest/







            share|improve this answer












            share|improve this answer



            share|improve this answer










            answered Mar 18 at 7:54









            Simon LarssonSimon Larsson

            52312




            52312












            • $begingroup$
              Thank a lot Simon! Just what I'm looking for
              $endgroup$
              – Hoang Dang Tuan
              Mar 19 at 6:17


















            • $begingroup$
              Thank a lot Simon! Just what I'm looking for
              $endgroup$
              – Hoang Dang Tuan
              Mar 19 at 6:17
















            $begingroup$
            Thank a lot Simon! Just what I'm looking for
            $endgroup$
            – Hoang Dang Tuan
            Mar 19 at 6:17




            $begingroup$
            Thank a lot Simon! Just what I'm looking for
            $endgroup$
            – Hoang Dang Tuan
            Mar 19 at 6:17











            1












            $begingroup$

            Other widely used Python libraries for data augmentation include:





            • OpenCV: has functions/methods for bounding boxes, changing color space, scaling, cropping, translation, rotation, filters, blur, thresholding, etc.


            • Scikit-image: also has features allowing converting from another color space to another, resizing/rescaling/rotating, erosion/dilation, filters, etc.


            • Pillow: also has features for color space conversion, resizing/rotation/cropping, filters, pixel-level transformations, etc.






            share|improve this answer










            New contributor




            AlexK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
            Check out our Code of Conduct.






            $endgroup$


















              1












              $begingroup$

              Other widely used Python libraries for data augmentation include:





              • OpenCV: has functions/methods for bounding boxes, changing color space, scaling, cropping, translation, rotation, filters, blur, thresholding, etc.


              • Scikit-image: also has features allowing converting from another color space to another, resizing/rescaling/rotating, erosion/dilation, filters, etc.


              • Pillow: also has features for color space conversion, resizing/rotation/cropping, filters, pixel-level transformations, etc.






              share|improve this answer










              New contributor




              AlexK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
              Check out our Code of Conduct.






              $endgroup$
















                1












                1








                1





                $begingroup$

                Other widely used Python libraries for data augmentation include:





                • OpenCV: has functions/methods for bounding boxes, changing color space, scaling, cropping, translation, rotation, filters, blur, thresholding, etc.


                • Scikit-image: also has features allowing converting from another color space to another, resizing/rescaling/rotating, erosion/dilation, filters, etc.


                • Pillow: also has features for color space conversion, resizing/rotation/cropping, filters, pixel-level transformations, etc.






                share|improve this answer










                New contributor




                AlexK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.






                $endgroup$



                Other widely used Python libraries for data augmentation include:





                • OpenCV: has functions/methods for bounding boxes, changing color space, scaling, cropping, translation, rotation, filters, blur, thresholding, etc.


                • Scikit-image: also has features allowing converting from another color space to another, resizing/rescaling/rotating, erosion/dilation, filters, etc.


                • Pillow: also has features for color space conversion, resizing/rotation/cropping, filters, pixel-level transformations, etc.







                share|improve this answer










                New contributor




                AlexK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.









                share|improve this answer



                share|improve this answer








                edited 3 hours ago





















                New contributor




                AlexK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.









                answered 3 hours ago









                AlexKAlexK

                1135




                1135




                New contributor




                AlexK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.





                New contributor





                AlexK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.






                AlexK is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
                Check out our Code of Conduct.






























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