Getting error : Invalid bounding boxes

Hello everyone, I have this kind of problem and i need help.

Error using validateInputData
Bounding box data must be M-by-4 matrices of positive integer values. The following images have invalid bounding box data:
E:\ADRIAN\BAKALARKA\DATASET\vsetko2\panasonic_fullhd_01-090-045-202111091200.jpg
E:\ADRIAN\BAKALARKA\DATASET\vsetko2\panasonic_fullhd_01-090-045-202109091600.jpg
E:\ADRIAN\BAKALARKA\DATASET\vsetko2\panasonic_fullhd_01-090-270-202101091700.jpg

there are so many more images which have invalid boundig boxes... I want to ask : Can i remove these images somehow ? Or how can I solve this problem ?

for example : bounding boxes for this image : E:\ADRIAN\BAKALARKA\DATASET\vsetko2\panasonic_fullhd_01-090-045-202111091200.jpg

[] [] [] [1407,101.500000000000,179,979] []

I hope someone can help, so many thanks.

Answer 1

[Ranjeet]

Hello Adrian,

As evident from the example you gave, the image has a valid bounding box [1407,101.500000000000,179,979] but the blank brackets “[]” are responsible for producing the error.

One way would be to remove the empty brackets.

Also make sure that each sample (image) has at-least one bounding box (this means it has at-least one object in the image that can be used for training/testing).

If an image is having multiple bounding boxes, then they should be represented as [bbx1; bbx2; bbx3; …] as represented in the example Object Detection using YOLO v3 Deep Learning. You may try the example with your dataset and see if it still gives empty bracket like “[] [] [] [1407,101.500000000000,179,979] []”.

[Adrian Kleffler]

Thanks for answer :) but I will be so thankful if you can say me how to remove empty brackets from every row

[Image Analyst]

@Adrian Kleffler maybe try using isempty and cellfun. Attach your variable in a .mat file if you can't figure it out.

[Adrian Kleffler]

Hello, did you mean this file ? or which file ? i keep getting this error...