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

* Introduction

* Computer vision analysis inputs

+ Target column format for Object detection

+ Target column format for Image classification

+ Image path column

+ Supported images formats

* Your first Computer vision model

+ Install the required packages

+ Create the analysis

+ Review the design of your model (optional)

+ Monitor the performance of your model during training

* Model architectures & training parameters

+ Pre-trained models available

+ Training parameters

* Evaluation Metrics

* Data augmentation

+ Data augmentations settings

+ N.b. Object detection

* GPU support

+ Selection of GPU

+ Using multi-GPU training

+ Requirements

* Performance assessment

+ Object detection

- Confusion matrix and image feed

- Metrics

- Precision-Recall curve

- What if : Scoring new images on the go

+ Image classification

- Confusion matrix and image feed

- Metrics

- Calibration curve, ROC curve & density charts

- What if : Scoring new images on the go

* Endpoint APIs

+ Input format
