Update docs to reflect number of metrics (#945)

* update docs
* update readme

README.md

@@ -90,7 +90,7 @@ ______________________________________________________________________
 
 ## What is Torchmetrics
 
-TorchMetrics is a collection of 50+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
+TorchMetrics is a collection of 80+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
 
 - A standardized interface to increase reproducibility
 - Reduces boilerplate
@@ -282,8 +282,10 @@ We currently have implemented metrics within the following domains:
  [Accuracy](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#accuracy),
  [F1Score](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#f1score),
  [AUROC](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#auroc)
- and [19 more](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#classification-metrics)
+ and [many more](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#classification-metrics)
  )
+- Detection (
+ [MeanAveragePrecision](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#meanaverageprecision))
 - Information Retrieval (
  [RetrievalMAP](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#retrievalmap),
  [RetrievalMRR](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#retrievalmrr),
@@ -294,22 +296,22 @@ We currently have implemented metrics within the following domains:
  [FrechetInceptionDistance](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#FrechetInceptionDistance),
  [KernelInceptionDistance](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#KernelInceptionDistance),
  [StructuralSimilarityIndexMeasure](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#StructuralSimilarityIndexMeasure)
- and [2 more](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#image-metrics)
+ and [many more](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#image-metrics)
  )
 - Regression (
  [ExplainedVariance](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#explainedvariance),
  [PearsonCorrCoef](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#pearsoncorrcoef),
  [R2Score](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#r2score)
- and [few more](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#regression-metrics)
+ and [many more](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#regression-metrics)
  )
 - Text (
  [BleuScore](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#bleuscore),
  [RougeScore](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#rougescore),
  [WordErrorRate](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#WordErrorRate)
- and [few more](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#text)
+ and [many more](https://torchmetrics.readthedocs.io/en/latest/references/modules.html#text)
  )
 
-In total torchmetrics contains 60+ metrics!
+In total torchmetrics contains 80+ metrics!
 
 ## Contribute!
 

docs/source/pages/quickstart.rst

@@ -2,7 +2,7 @@
 Quick Start
 ###########
 
-TorchMetrics is a collection of 60+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
+TorchMetrics is a collection of 80+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
 
 * A standardized interface to increase reproducibility
 * Reduces Boilerplate

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 60+ metrics implemented and we continuously are adding more metrics, both within
+We currently have around 80+ 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.
 """