From 13b82618cb72451749ac81a418e5f662a1f0b8ba Mon Sep 17 00:00:00 2001 From: qiuqiangkong Date: Fri, 7 Feb 2020 11:06:47 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 68cfb13..e66a96d 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ Audio Set is a large scale weakly labelled dataset containing over 2 million 10- This codebase is an implementation of [1], where attention neural networks are proposed for Audio Set classification and achieves a mean average precision (mAP) of 0.360. ## News! -In Dec. 2019, our latest research pretrained audio neural networks (PANNs) [2] have achieved an mAP of 0.439: https://github.com/qiuqiangkong/audioset_tagging_cnn +In Dec. 2019, our latest research pretrained audio neural networks (PANNs) [2] have achieved an mAP of **0.439**. Code is available: https://github.com/qiuqiangkong/audioset_tagging_cnn ## Download dataset We convert the tensorflow type data to numpy data and stored in hdf5 file. The size of the dataset is 2.3 G. The hdf5 data can be downloaded here https://drive.google.com/open?id=0B49XSFgf-0yVQk01eG92RHg4WTA