Model: Tanneru/Facial-Emotion-Detection-FER-RAFDB-AffectNet-BEIT-Large
Author: Tanneru
Pipeline: image-classification
Tags: safetensors, beit, emotion-detection, affectnet, raf-db, fer2013, image-classification, facial-expression-recognition, dataset:AffectNet, dataset:RAF-DB, dataset:FER-2013, arxiv:2106.08254, license:apache-2.0, model-index, region:us
Card metadata: license: apache-2.0
tags: emotion-detection, affectnet, raf-db, fer2013, beit, image-classification, facial-expression-recognition
datasets: AffectNet, RAF-DB, FER-2013
metrics: accuracy, precision, recall, f1, confusion matrix
model-index: name: Facial-Emotion-Detection-FER-RAFDB-AffectNet-BEIT-Large
results: task: type: image-classification
name: Facial Emotion Classification
dataset: name: AffectNet + RAF-DB + FER-2013
type: image
metrics: name: Accuracy
type: accuracy
value: 0.7357
verified: no, name: Precision
type: precision
value: 0.7141
verified: no, name: Recall
type: recall
value: 0.6913
verified: no, name: F1
type: f1
value: 0.6965
verified: no
Likes: 7 | All-time downloads: 33799
Created: 2025-07-28 02:27:50