# Introduction[¶](https://doc.dataiku.com/dss/latest/machine_learning/computer-vision/introduction.html#introduction "Permalink to this headline")

Computer vision in DSS is “fully-visual”: You don’t need to write code, you can configure training using the interface. It includes for both Object detection and Image classification :

* Preparing the requisite environment

* Visually configuring the training task (including interactive data augmentation)

* Handling the training process (with or without GPU) with early stopping capabilities

* Interactive results & performance visualisation

* Ability to deploy and score images in batch or realtime

DSS Computer vision is based on PyTorch. Through container deployment capabilities, you can train and deploy models on cloud-enabled dynamic GPUs clusters.

Note

To create a model from scratch with a custom architecture and full parametrization, you can write your model in Keras using our Deep Learning feature instead.
