Datasets:
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
fer2013
facial-expression-recognition
emotion-recognition
emotion-detection
computer-vision
deep-learning
License:
metadata
dataset_info:
features:
- name: sample_id
dtype: string
- name: image
dtype:
array2_d:
shape:
- 48
- 48
dtype: uint8
- name: emotion
dtype:
class_label:
names:
'0': angry
'1': disgust
'2': fear
'3': happy
'4': sad
'5': surprise
'6': neutral
- name: emotion_name
dtype: string
- name: pixels
dtype: string
- name: usage
dtype: string
- name: quality_score
dtype: float32
- name: brightness
dtype: float32
- name: contrast
dtype: float32
- name: sample_weight
dtype: float32
- name: pixel_mean
dtype: float32
- name: pixel_std
dtype: float32
- name: pixel_min
dtype: uint8
- name: pixel_max
dtype: uint8
- name: edge_score
dtype: float32
- name: focus_score
dtype: float32
- name: brightness_score
dtype: float32
splits:
- name: train
num_bytes: 275470146
num_examples: 25117
- name: validation
num_bytes: 58988417
num_examples: 5380
- name: test
num_bytes: 59103202
num_examples: 5390
download_size: 244362591
dataset_size: 393561765
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*