An end to end platform for Video AI

Built by deep learning engineers and experts, deeplabel.app is our effort to simplify the video AI workflow and make you more productive with your AI work

Request Demo

What sets us apart?

We enable video to become a valuable source of information for data analysis.

Active learning

Speeds up labelling using your models or prebuilt models.

Build models easily

Supports variety of users - from beginners to experts.

Test models

Find how the model is faring, and improve based on recommendation.

Deploy models

Infer and deploy the models easily.

Insights

Use video as a source of data in your analytics, and derive insights.

Collaborate

Amplifies your productivity for AI projects.

Fast Data Annotation

Data annotation takes up more than 30-40% of a Deep learning engineer's time. We have built an easy to use interface for annotation of objects and actions for Video AI projects. Coupled with usage of active learning to make data annotation speedier, we believe that data annotation will be super fast compared to contemporary platforms out there in the market. Experience it first hand. Lots of exciting features planned and already in the works

Build models easily

We have abstracted the complexities and nuances of deep learning frameworks, their configuration tuning, and more. Building a model has become a lot more simpler, and thereby we return valuable time and effort required to learn how to build models.Support for building object detection and action detection models is already available for multiple frameworks and architectures.

Test model accuracy

Something unique to deeplabel.app is the fact that you can run inference on videos which are not part of a test or validation data set, and check for yourself, how your model is performing. Gets you one step closer to an end to end AI work flow. A model with good accuracy is always something that can be shared with your team mates.

Deploy models

If your models have good accuracy from your testing, the entire team can benefit by pushing such models to production. Such models will also help in automated data annotation. Easy one click push of models to production, is a big productivity booster.

Insights

The icing on the cake... In case you wanted to generate insights from the video analysis for your project, we are going to provide an integration with our powerful insights engine for video AI called FizzStream.

Collaborate

Having the ability to push models to production, share and download the same makes it much more simpler and easier for teams to work in a standardized development environment, while they develop Video AI solutions We believe in the power of sharing and collaborating tremendously, and are happy to help teams collaborate better and become more productive .

Get started now

Try it out