Search results
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Jun 13, 2021 · Human Emotion Analysis using facial expressions in real-time from webcam feed. Based on the dataset from Kaggle's Facial Emotion Recognition Challenge.
The Expression in-the-Wild (ExpW) dataset is for facial expression recognition and contains 91,793 faces manually labeled with expressions. Each of the face images is annotated as one of the seven basic expression categories: “angry”, “disgust”, “fear”, “happy”, “sad”, “surprise”, or “neutral”.
FER2013 (Facial Expression Recognition 2013 Dataset) Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of it can be divided into 7 types: 0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral.
Jul 8, 2022 · This dataset can be used as a building block to track faces in images and video, analyze facial expressions, detect dysmorphic facial signs for medical diagnosis, and biometrics or facial recognition. Access the dataset. Google Facial Expression Comparison Dataset
This code includes methods and package structure copied or derived from Iván de Paz Centeno's implementation of MTCNN and Octavio Arriaga's facial expression recognition repo. REFERENCE FER 2013 dataset curated by Pierre Luc Carrier and Aaron Courville, described in:
Feb 17, 2020 · There are ways to read FER2013 / Face Expression Recognition dataset in CSV format using API from Pytorch Torchvision.
Sep 30, 2023 · In this work, we present InFER, a real-world multi-ethnic Indian Facial Expression Recognition dataset consisting of 10,200 images and 4,200 short videos of seven basic facial expressions. The dataset has posed expressions of 600 human subjects, and spontaneous/acted expressions of 6000 images crowd-sourced from the internet.
The Real-world Affective Faces Database (RAF-DB) is a dataset for facial expression. It contains 29672 facial images tagged with basic or compound expressions by 40 independent taggers.
Mar 3, 2020 · 4| Google Facial Expression Comparison Dataset. This dataset by Google is a large-scale facial expression dataset that consists of face image triplets along with human annotations that specify, which two faces in each triplet form the most similar pair in terms of facial expression.
