build(version): v0.1.0

Training Face Detectors Based on YOLOv5-v7.0 and WIDERFACE Datasets.

README.md

@@ -69,6 +69,7 @@
 ## Table of Contents
 
 - [Table of Contents](#table-of-contents)
+- [Latest News](#latest-news)
 - [Background](#background)
 - [Installation](#installation)
 - [Usage](#usage)
@@ -81,6 +82,10 @@
 - [Contributing](#contributing)
 - [License](#license)
 
+## Latest News
+
+* ***[2024/06/29][v0.1.0](https://github.com/zjykzj/YOLO5Face/releases/tag/v0.1.0). Training Face Detectors Based on YOLOv5-v7.0 and WIDERFACE Datasets.***
+
 ## Background
 
 [YOLO5Face](https://arxiv.org/abs/2105.12931) is a very interesting work that further abstracts the task of face detection. By directly using a universal object detection algorithm, good face detection results can be achieved. Of course, it also achieves 5-point facial keypoint regression. Based on the [ultralytics/yolov5](https://github.com/ultralytics/yolov5) object detection framework, YOLO5Face can easily apply different models and training, such as using lightweight networks for real-time detection and using large networks for higher detection accuracy.

README.zh-CN.md

@@ -69,6 +69,7 @@
 ## 内容列表
 
 - [内容列表](#内容列表)
+- [最近新闻](#最近新闻)
 - [背景](#背景)
 - [安装](#安装)
 - [用法](#用法)
@@ -81,6 +82,10 @@
 - [参与贡献方式](#参与贡献方式)
 - [许可证](#许可证)
 
+## 最近新闻
+
+* ***[2024/06/29][v0.1.0](https://github.com/zjykzj/YOLO5Face/releases/tag/v0.1.0)。基于yolov5-v7.0和WIDERFACE数据集训练人脸检测器。***
+
 ## 背景
 
 [YOLO5Face](https://arxiv.org/abs/2105.12931)是一个很有趣的工作，它进一步抽象了人脸检测任务，直接采用通用目标检测算法就可以实现很好的人脸检测效果。当然它还实现了5点人脸关键点回归。 基于[ultralytics/yolov5](https://github.com/ultralytics/yolov5)目标检测框架，YOLO5Face可以很方便的应用不同的模型和训练，比如采用轻量网络来实现实时检测，采用大网络来实现更高的检测精度。