diff --git a/requirements.txt b/requirements.txt
index 52f7b9ea57d2..8cb1bd4c6fe1 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -16,7 +16,7 @@ tqdm>=4.64.0
 
 # Logging -------------------------------------
 tensorboard>=2.4.1
-# clearml
+# clearml>=1.2.0
 # comet
 
 # Plotting ------------------------------------
diff --git a/utils/loggers/clearml/README.md b/utils/loggers/clearml/README.md
index 64eef6befc93..e0c5824bc2a2 100644
--- a/utils/loggers/clearml/README.md
+++ b/utils/loggers/clearml/README.md
@@ -54,7 +54,7 @@ That's it! You're done 😎
 To enable ClearML experiment tracking, simply install the ClearML pip package.
 
 ```bash
-pip install clearml
+pip install clearml>=1.2.0
 ```
 
 This will enable integration with the YOLOv5 training script. Every training run from now on, will be captured and stored by the ClearML experiment manager. If you want to change the `project_name` or `task_name`, head over to our custom logger, where you can change it: `utils/loggers/clearml/clearml_utils.py`