Invalid bounding boxes were removed when use fasterRCNN with Alexnet

I'm using a database to train model by fasterRCNN.

I have 5000 images with 1024 by 1024. When I use AlexNet i get the followig warning:

Warning: Invalid bounding boxes from 1740 out of 5000 training images were removed.

Bounding boxes must be fully contained within their associated image and must have positive width and height.

I check my bounding boxes and some bounding box might be lying the the boundary of the image, but it doesn't happen with all of them and width and heigth are positve.

Does anyone know how to resolve this?

[Walter Roberson]

Try running through the boxes and using min() and max() to make them strictly inside the image. min(max(2,RowNumber), number_of_rows-1) and so on.

[Beatriz Martins]

Thank you! it works!

[Jyosh Matlab]

How to apply this code exactly...can you give some example?

Thanks

[Walter Roberson]

%assuming: YourImage, bounding_x, bounding_y, bounding_width,
%bounding_height

%bounding box must not be empty, and must be strictly inside the
%image, not on the edge of the image. That requires a minimum size of 3

[image_rows, image_columns, ~] = size(YourImage);
assert(image_rows >= 3, 'Image must have at least 3 rows')
assert(image_columns >= 3, 'Image must have at least 3 columns');

%force the start to be strictly inside the margins. The assumption is that
%the existing positions are as close to correct as possible, and that the
%size might need to be adjusted. So for example if you ask for a box of
%width 10 but you are only 6 units from the right edge, the width will be
%shrunk. It is true, though, that if the position is outside to the top or
%left then it will be moved full-size. You have to make SOME decision as to
%what to prioritize; it would certainly be a valid decision to prioritize
%the size of the box and move the box to fit the size.

bounding_x = min(max(2, bounding_x), image_columns-1);
bounding_y = min(max(2, bounding_y), image_rows-1);

%now make box smaller if needed
bounding_width = min(bounding_width, image_columns-bounding_x);
bounding_height = min(bounding_height, image_rows-bounding_y);