roboflow-python VS awesome-teachable-machine

Well generally you solve this by adding the package to requirements in your spec file.. But this only works for pure-python packages, or those that have a python-for-android build recipe. Roboflow depends on several other packages, see here: https://github.com/roboflow/roboflow-python/blob/main/requirements.txt

There’s also a plotting function in the python package: https://docs.roboflow.com/python * prediction.plot() * prediction.save(output_path="predictions.jpg")

https://help.roboflow.com/implementing-active-learning | https://blog.roboflow.com/pip-install-roboflow | https://docs.roboflow.com/python | https://help.roboflow.com/froboflow-train-understanding-training-graphs

Add detection data back into dataset: https://docs.roboflow.com/python

Looks like this PR that got merged a few hours ago introduced a regression because it was getting called with False vs None somewhere.

Not sure if I've seen anything of the sort, seems rather specific. Maybe try a Teachable Machine project? https://teachablemachine.withgoogle.com/

Train a computer to recognize your images, sounds, and poses. Use this resource to gain a better understanding.

[Teachable Machine](https://teachablemachine.withgoogle.com/)

We will create an machine learning model that can classify Arabic and English books. To collect, train, and test data, we will use Teachable Machine from Google.

a lot of places! but for a high schooler, better to focus at what you want to do first. or if you still haven't gotten any idea, try a simple explanation on what ml is without the math on youtube and tinker around a no code machine learning platform like https://teachablemachine.withgoogle.com/

The principle is roughly the same as it is possible with teachablemachine.withgoogle.com.

You mentioned app, so check this out: https://teachablemachine.withgoogle.com

Here is a similar tool and source