The purpose of this project is to create a Deep Learning model that identifies whether or not someone is wearing a mask. My model is based on YOLO's object detection algorithm, and I'm using the dataset from kaggle's website. Dataset : Face Mask Detection Dataset The dataset consists of...
In this paper, a face mask detection model for static and real time videos has been presented which classifies the images as "with mask" and "without mask". The model is trained and evaluated using the Kaggle data-set. The gathered data-set comprises approximately about 4,000 pictures and ...
比如说Face++改进MaskRCNN在ICCV‘17 COCO challenge上吊打FAIR团队,但是一直没有很好的开源实现(...
https://www.kaggle.com/c/deepfake-detection-challenge/data 数据增强 Facebook 团队使用多种数据增强技术,如几何变换或干扰等。主要的增强方法如下所示:干扰:将各种物体(图像、形状、文本等)叠加在视频上;增强:对视频应用几何变换、颜色变换、帧率更改等。数据增强示例参见下图:论文链接:https://arxiv.org...
项目地址:https://github.com/raymon-tian/hourglass-facekeypoints-detection 成绩及演示 kaggle用户名: raymon 成绩截图 demo 相关工作 人脸关键点检测任务,隶属于人体关节点检测任务的中的子任务,所以现存的大量的针对人体关节点检测任务的工作都可以用于人脸关键点检测任务。对于人体关节点检测任务,存在的方法根据图像...
项目地址:https://github.com/raymon-tian/hourglass-facekeypoints-detection 成绩及演示 kaggle用户名: raymon 成绩截图 demo 相关工作 人脸关键点检测任务,隶属于人体关节点检测任务的中的子任务,所以现存的大量的针对人体关节点检测任务的工作都可以用于人脸关键点检测任务。对于人体关节点检测任务,存在的方法根据图像...
For this project I used the Kaggle's Face Mask Detection dataset with 853 images belonging to 3 classes. Each image has one or many bounding boxes.The classes are:With mask Without mask Mask worn incorrectlyI recomend use Google Dataset Search to find any kind of dataset, in this case ...
DFAE:Deepfake 自编码器(DF-128、DF-256),数据集创建过程中使用模型的输入 / 输出分辨率为 128x128 和 256x256。 MM/NN face swap:使用基于自定义帧的 morphable-mask 模型进行换脸。 NTH:在 few-shot 和 one-shot 学习环境下,...
Although the datasets presented above do not distinguish between masked faces with correctly and incorrectly worn masks, there are two smaller datasets on the Kaggle portal that do make the distinction [26,27]. The first, the Face-Mask Detection (FMD) dataset [26], contains 853 images that ar...
Mask-face detection has been a significant task since the outbreak of the COVID-19 pandemic in early 2020. While various reviews on mask-face detection techniques up to 2021 are available, little has been reviewed on the distinction between two-class (i.