Do you identify as Latinx and are working in artificial intelligence or know someone who is Latinx and is working in artificial intelligence?

In this entry, we will try to get better results than what we got on the first model.

First of all, we are going to use google colab. So please follow the next link to create one.

Now we can start importing all the necessary packages that we will use.

Important please make sure that you first install the timm library so that you can avoid future problems when running fastai packages.

We are going to loop for each search item and download all the necessary images.

Once we got all the images we are going to check for corrupted ones and delete them so that our model does not crush.

Now we have the images we need to create our DataBlock

The inputs are going to be images “ImageBlock” and the outputs are going to be categories “CategoryBlock”

We can specify a splitter, this will retrieve some of the data to use for validation purposes. In this case, we are using 20% of the data for validation.

We have got our dataloaders. Now we need to look for a “pre-trained” model to use in our learner. I really like using “convnext” they are really reliable and quite light.

Choosing a lr between the valley and the slide is a really good ley of thumb.

Finally, we can create again the learner by choosing the above learning rate

Older model results:

We can print the top losses, to see some examples:

As you can see with a few modifications to the older model we can create a more powerful one.

Hope you enjoy this simple yet powerful model. I will appreciate it if you give it a clap. Have a nice day! Please feel free to leave a comment if you didn’t understand something I will gladly help you out :).

Added a working URL where you can test the model. Give it a try!

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