数据集地址:https://www.idiap.ch/dataset/replayattack。 发布于2012年,这是一个重放攻击人脸数据集,包含50个人的1300个视频。所有的视频都是通过让一个(真正的)客户端试图通过内置的网络摄像头访问笔记本电脑或者通过显示同一客户端的照片或视频至少记录了9秒后生成,分辨率为320×240像素。 (3) 3DMask Attack 数...
The model has been trained on an image dataset consisting of 3835 images where 1916 images are with face masks and 1919 images are of people without face mask. The images in the dataset has been collected from Bing Search API, Kaggle Datasets and RMFD Datasets. The proposed Deep Learning ...
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...
Object Detection | V Face mask detection / \ / \ EfficientDET MobileNET SSD Leveraged pretrained models like Mobilenet SSD and EfficientDET from Tensorflow object detection API, to train a custom face detection model. Using kaggle dataset API, face mask dataset was acquired and retrained from the ...
df = pd.read_csv("/kaggle/input/queestion-answer-dataset-qa/train.csv") df.columns df = df[['context','question', 'text']] print("Number of records: ", df.shape[0]) 问题陈述 “创建一个能够根据上下文和问题生成响应的模型。” ...
df = pd.read_csv("/kaggle/input/queestion-answer-dataset-qa/train.csv") df.columns df = df[['context','question', 'text']] print("Number of records: ", df.shape[0]) 问题陈述 “创建一个能够根据上下文和问题生成响应的模型。” ...
Face Mask Detection ~12K Images Dataset 12K Images divided in training testing and validation directories. www.kaggle.com Lottie Android Documentation: Lottie Docs Lottie is a library for Android, iOS, Web, and Windows that parses Adobe After Effects an...
pytorch faster-rcnn face-detection object-detection face-mask custom-dataset mobilenetv2 facemask covid-19 face-mask-detection Updated Oct 9, 2020 Jupyter Notebook Qengineering / Face-Mask-Detection-Raspberry-Pi-64-bits Star 20 Code Issues Pull requests Face mask detection on Raspberry Pi ...
(target,None,add_special_tokens=True,max_length=self.out_max_len,padding='max_length',truncation=True,return_attention_mask=True,return_tensors="pt")inputs_ids=inputs_encoding["input_ids"].flatten()attention_mask=inputs_encoding["attention_mask"].flatten()labels=output_encoding["input_ids"...
Inception-v3 MaskedFace-Net + FFHQ Face-mask[kaggle853] 211936 4080 19.2%Table 4: Face-hand interaction detection results on proposed ISL-UFHD dataset. Model Accuracy Precision Recall Inception-v3 93.20% 0.932 0.932 ResNet50 91.76% 0.918 0.918 MobileNetV2 92.37% 0.924 0.924 EfficientNet-b0 92.37...