Hello folks on PH, this is Amar, co-founder of Matrice.ai. I previously built Chefling and the experience of annotating datasets, training models and deploying them on then edge was a painful experience. We wasted months of resources without any real outcome. The whole experience led us to launch Matrice.ai. We are three co-founder with an extensive background in machine learning. The Matrice.ai platform provides the end user with an environment to swiftly upload their data to the platform; both labeled and unlabeled datasets can be uploaded. In future iterations, the user will have tools to enable them label images by selecting one or more of the user’s pre-defined labels. Also, the end user has the ability to add bounding box; to be used for object detection and segmentation tasks. The user can then utilize a plethora of deep learning models available at their finger tips. Once a pre-trained model is selected from the model library, the user can train the model on their dataset to fine tune the model to their dataset. A trained model then can be deployed and exposed to the end user where they can query the model for inference on new data points.

Matrice.ai

Integrating AI models into your apps has never been easier

Integrating AI models into your apps has never been easier