Welcome update to OpenMMLab 2.0

I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/amFNsyUBvm or add me on WeChat (van-sin) and I will invite you to the OpenMMLab WeChat group.

Here are the OpenMMLab 2.0 repos branches:

Attention: please create a new virtual environment for OpenMMLab 2.0.

Hi, Can I get access to the annotations list on the dataset?
For example in the 2D images folder, some annotations like "M" which is stand for malignant, but what about others annotations such as "CY" "UT" ? Is that uterus or something else？
Your reply would of great help, many thanks.

Hello Team,

I am using the OTU_2d dataset to perform image recognition task (Task 3) and I am using ResNet50 to implement the model. I have resized the image to 384 x 384 and have used SGD with weight decay and momentum as 0.0005 and 0.9 .

But my accuracy is stuck at 50% , can you share across your model implementation for Task 3 or a link where I can find the code