Carrot (Vision-Language ML model) Project Ideas - TAKE these!

Time for a business idea brainstorm! What startups and projects could be built with the Carrot machine learning model? We decided to pitch a few business ideas your way that we believe could be built with a model like Carrot.

First things first.

What is Carrot?

Developed by Banana's open-research community, Plaintain Labs, Carrot is a cutting-edge vision-language model that performs general-purpose image captioning, image question and answering, and image classification. Carrot is a significant leap forward in the capabilities of computer vision. Using Carrot, you can identify anything using natural English prompts - similar to GPT-3.

A neat use case is how you can ask images questions and get answers back. For example, with this image you can ask it things like:

Question: Is someone at the risk of falling? Answer: no

Carrot Business & Project Ideas

NSFW Filtering

With Carrot, you can ask images questions and get answers back (see above horse image example).

Seemingly, you could feed Carrot images and ask it if there are NSFW contents in the image and allow for moderation or flagging if it answers "yes".

It doesn't have to be just NSFW contents that Carrot can look out for. There are countless other use cases where it could be useful to have Carrot interpret the contents of the image and make a determination as to what is going on.

ALT tag Image Generation Plugin

Carrot has the ability to generate detailed captions of images based on what it recognizes and sees within the contents of the image. This is perfect, because pretty much every marketer/blogger either forgets or hates the task of labeling their ALT text tags for images. With Carrot, you could make a Wordpress plugin or a SAAS tool that automatically labels your images with a detailed ALT tag so you never have to worry about it again.

Automated/On-Demand Photo Organization

Instead of having to painstakingly sort through your photos and organize them into folders or categories, what if you just had to ask your photo storage to find specific images and group them on command?

For example, instead of seeking out every image of your dog and adding them to an album, you could make an app that feeds your photo roll through Carrot and allows you to say things like: "Show me all photos of my dog Sammy" or "Create an album with every image that contains mountains in it". That would be pretty freaking smooth.

Find your Doppelganger App

Want a viral app idea? Create an app where you add an image of yourself and Carrot securely goes through the photo index of other app users and finds the people that look like your doppelganger (the most alike to you). You'd have to make sure people are comfortable sharing their image with the app and other security/privacy components, but hey, I'd love to know my doppelgangers from around the world. Maybe we could be friends!

Security Camera That Recognizes Items in Video

Obviously ethics need to be considered for applications such as this. But it's worth mentioning that with Carrot you could create a security camera that can recognize different items in the video frames. Carrot recognizes images, so you would need to feed it video frames. You could have it recognize cats, dogs, suspicious activity.

Image & Video Indexing

This one is pretty freaking cool. Google is known as being the world's search engine, as it indexes basically all text on the Internet. What if you could index the contents of images and videos? You can with Carrot! You can now feed images and video frames through carrot and have it index the contents of the image, much like Google does with text. There are many niche ideas within this that are certainly worth exploring.

Automated Image Data Labeling

There are billion-dollar companies that exist for the purpose of labeling datasets for machine learning training data. These companies pay people to sit at their computer and label what they see in thousands of images, or to verify the data labels that were generated for images and videos.

You can probably see where we're heading with this one.

With Carrot, you could in theory feed the images into the model and have it label significant contents within the image, instead of relying on paying humans to do this tedious task. Of course there is a margin of error that this could have, but there is also a margin of error with humans labeling data so you may be able to get this margin of error to be on par with human labeling. If you did that, you have a rocketship of a business idea on your hands. Another tweak to this idea would be to use Carrot for verifying the data labels of images and video frames instead of creating the labels from scratch if you were concerned about data accuracy.

Thinking of building one of these projects? Banana can help! Use Carrot in seconds with our 1-click model deployment here. You should also hop into our Discord community. We have over 500+ ML & AI builders that hang out there who love to hack on new ideas and connect as you build your project!