Let’s take action!!

“When you’re in motion, you’re planning and strategizing and learning. Those are all good things, but they don’t produce a result. Action, on the other hand, is the type of behavior that will deliver an outcome.”

Welp, it ain't pretty, but I am slowly but surely making progress on my Datasets page for my #MachineLearning application that I've decided to #buildinpublic.

More progress pics to follow in the coming days and weeks.

Hoping for it to be ready by October!
🟩List of unlabelled images
🟥List of labelled images
🟦List of label classes
🟨Current image that needs to be labelled
(PINK) Label filter w/counts. Unchecking this will uncheck all labelled images of this class.

#YOLO #MachineLearning #buildinpublic
Here is the utility that I've been working on in an attempt to help me better manage my images that need to be labelled for object detection

Before releasing to the world, I need to put some 💄lipstick on this🐷.

Stay tuned for more progress

#buildinpublic #MachineLearning
So excited! Tonight I will finally be taking my #MachineLearning app and moving all my code from the single form it's in into separate components in an attempt to start the process of cleaning up / refactoring to get it into MVP status #BuildInPublic
Made a lot of fixes to my app in the last 12 hours.

1⃣Added ability to remove labelled image from dataset
2⃣Prevented labels from having spaces
3⃣Fixed label bugs
4⃣Fixed pesky bug of app crashing when I would label the last image in a dataset!

Progress! #BuildInPublic
I am running into bugs using my app that I've decided to #BuildInPublic. It manages my image datasets that I'm building out to train an object detection model for a #MachineLearning project I am working on.

Here is how I am going to handle the bugs:
Hello world! 👋
Over the last 30 minutes I just sifted through 3000 images, marking about 300 of them as fit to be labelled for my object detection model.

#MachineLearning is definitely not a glamorous job, but I guess someone has to do it.