Image & Bounding Box Augmentation using Albumentations | Essentials of Object Detection 

Very clear and intuitive explanation....please keep doing this kind of tutorials

I was waiting for your videos from last several weeks. And there is 3 videos in last 2 days. Christmas came early this year...

Really well explained. Thanks for this tutorial!

So the bounding box comes with labeled data ?.....or we ourself are creating bounding box

Hello. Thank you very much for the tutorial. But will this method work for my dataset? I have quite a large number of images that need to be resized together with bounding box coordinates in xml formats. Please, any idea? Thank you very much.

this is so clear and good

thanks for this tutorial

When i install the albumentations in Anaconda environment by "pip install albumentations, it upgrade my numpy to 1.24.4 automatically, this version of numpy conflict to Tensorflow 2.3.0...

In Industry can we use Roboflow for data augmentation. Even though its paid, but is it desirable to use roboflow?

Can we use this for detecting signature froom an image?