docs: Update the number of metrics + covered domains (#1344)

README.md

@@ -89,7 +89,7 @@ ______________________________________________________________________
 
 ## What is TorchMetrics
 
-TorchMetrics is a collection of 80+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
+TorchMetrics is a collection of 90+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
 
 - A standardized interface to increase reproducibility
 - Reduces boilerplate
@@ -275,10 +275,12 @@ We currently have implemented metrics within the following domains:
 - Detection
 - Information Retrieval
 - Image
+- Multimodal (Image-Text)
+- Nominal
 - Regression
 - Text
 
-In total TorchMetrics contains [80+ metrics](https://torchmetrics.readthedocs.io/en/stable/all-metrics.html)!
+In total TorchMetrics contains [90+ metrics](https://torchmetrics.readthedocs.io/en/stable/all-metrics.html)!
 
 ## Contribute!
 

docs/source/index.rst

@@ -10,7 +10,7 @@ Welcome to TorchMetrics
    <div class="row" style='font-size: 14px'>
       <div class='col-md-12'>
 
-TorchMetrics is a collection of 80+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
+TorchMetrics is a collection of 90+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
 
 * A standardized interface to increase reproducibility
 * Reduces Boilerplate

docs/source/pages/quickstart.rst

@@ -2,7 +2,7 @@
 Quick Start
 ###########
 
-TorchMetrics is a collection of 80+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
+TorchMetrics is a collection of 90+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
 
 * A standardized interface to increase reproducibility
 * Reduces Boilerplate

src/torchmetrics/__about__.py

@@ -11,7 +11,7 @@
 [PyTorch Lightning](https://pytorch-lightning.readthedocs.io/en/stable/). It was originally a part of
 Pytorch Lightning, but got split off so users could take advantage of the large collection of metrics
 implemented without having to install Pytorch Lightning (even though we would love for you to try it out).
-We currently have around 80+ metrics implemented and we continuously are adding more metrics, both within
+We currently have around 90+ metrics implemented and we continuously are adding more metrics, both within
 already covered domains (classification, regression ect.) but also new domains (object detection ect.).
 We make sure that all our metrics are rigorously tested such that you can trust them.
 """