diff --git a/README.md b/README.md
index e718d928..5ac4c300 100644
--- a/README.md
+++ b/README.md
@@ -29,7 +29,7 @@ This project is released under the [Apache 2.0 license](LICENSE).
 
 ## Changelog
 
-v0.7.0 was released in 31/12/2020.
+v0.8.0 was released in 31/1/2021.
 Please refer to [changelog.md](docs/changelog.md) for details and release history.
 
 ## Benchmark and model zoo
diff --git a/docs/changelog.md b/docs/changelog.md
index 5522d649..cacd9352 100644
--- a/docs/changelog.md
+++ b/docs/changelog.md
@@ -1,9 +1,44 @@
 ## Changelog
 
+### v0.8.0(31/1/2021)
+
+- Support multi-label task.
+- Support more flexible metrics settings.
+- Fix bugs.
+
+#### New Features
+
+- Add evaluation metrics: mAP, CP, CR, CF1, OP, OR, OF1 for multi-label task. (#123)
+- Add BCE loss for multi-label task. (#130)
+- Add focal loss for multi-label task. (#131)
+- Support PASCAL VOC 2007 dataset for multi-label task. (#134)
+- Add asymmetric loss for multi-label task. (#132)
+- Add analyze_results.py to select images for success/fail demonstration. (#142)
+- Support new metric that calculates the total number of occurrences of each label. (#143)
+- Support class-wise evaluation results. (#143)
+- Add thresholds in eval_metrics. (#146)
+- Add heads and a baseline config for multilabel task. (#145)
+
+#### Improvements
+
+- Remove the models with 0 checkpoint and ignore the repeated papers when counting papers to gain more accurate model statistics. (#135)
+- Add tags in README.md. (#137)
+- Fix optional issues in docstring. (#138)
+- Update stat.py to classify papers. (#139)
+- Fix mismatched columns in README.md. (#150)
+- Fix test.py to support more evaluation metrics. (#155)
+
+#### Bug Fixes
+
+- Fix bug in VGG weight_init. (#140)
+- Fix bug in 2 ResNet configs in which outdated heads were used. (#147)
+- Fix bug of misordered height and width in `RandomCrop` and `RandomResizedCrop`. (#151)
+- Fix missing `meta_keys` in `Collect`. (#149 & #152)
+
 ### v0.7.0(31/12/2020)
 
-- Add more evaluation metrics
-- Fix bugs
+- Add more evaluation metrics.
+- Fix bugs.
 
 #### New Features
 
@@ -11,15 +46,6 @@
 - Add 3 evaluation metrics: precision, recall and F-1 score. (#93)
 - Allow config override during testing and inference with `--options`. (#91 & #96)
 
-#### Bug Fixes
-
-- Add missing `CLASSES` argument to dataset wrappers. (#66)
-- Fix slurm evaluation error during training. (#69)
-- Resolve error caused by shape in `Accuracy`. (#104)
-- Fix bug caused by extremely insufficient data in distributed sampler.(#108)
-- Fix bug in `gpu_ids` in distributed training. (#107)
-- Fix bug caused by extremely insufficient data in collect results during testing (#114)
-
 #### Improvements
 
 - Use `build_runner` to make runners more flexible. (#54)
@@ -34,6 +60,15 @@
 - Add model statistics. (#119)
 - Refactor documentation in consistency with other MM repositories. (#126)
 
+#### Bug Fixes
+
+- Add missing `CLASSES` argument to dataset wrappers. (#66)
+- Fix slurm evaluation error during training. (#69)
+- Resolve error caused by shape in `Accuracy`. (#104)
+- Fix bug caused by extremely insufficient data in distributed sampler.(#108)
+- Fix bug in `gpu_ids` in distributed training. (#107)
+- Fix bug caused by extremely insufficient data in collect results during testing (#114)
+
 ### v0.6.0(11/10/2020)
 
 - Support new method: ResNeSt and VGG.
@@ -51,6 +86,13 @@
 - Add albumentations transforms. (#45)
 - Visualize results on image demo. (#58)
 
+#### Improvements
+
+- Replace urlretrieve with urlopen in dataset.utils. (#13)
+- Resize image according to its short edge. (#22)
+- Update ShuffleNet config. (#31)
+- Update pre-trained models for shufflenet_v2, shufflenet_v1, se-resnet50, se-resnet101. (#33)
+
 #### Bug Fixes
 
 - Fix init_weights in `shufflenet_v2.py`. (#29)
@@ -59,10 +101,3 @@
 - Fix the convert tools for mobilenet_v2. (#34)
 - Fix crash in CenterCrop transform when image is greyscale (#40)
 - Fix outdated configs. (#53)
-
-#### Improvements
-
-- Replace urlretrieve with urlopen in dataset.utils. (#13)
-- Resize image according to its short edge. (#22)
-- Update ShuffleNet config. (#31)
-- Update pre-trained models for shufflenet_v2, shufflenet_v1, se-resnet50, se-resnet101. (#33)
diff --git a/mmcls/version.py b/mmcls/version.py
index 71046347..75f966eb 100644
--- a/mmcls/version.py
+++ b/mmcls/version.py
@@ -1,6 +1,6 @@
 # Copyright (c) Open-MMLab. All rights reserved.
 
-__version__ = '0.7.0'
+__version__ = '0.8.0'
 
 
 def parse_version_info(version_str):