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Datasets:
abhilash88
/
fer2013-enhanced

Tasks:
Image Classification
Visual Question Answering
Zero-Shot Image Classification
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
fer2013
facial-expression-recognition
emotion-recognition
emotion-detection
computer-vision
deep-learning
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
1
fer2013-enhanced
File size: 2,177 Bytes 
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{
  "dataset_info": {
    "total_samples": 35887,
    "train_samples": 25117,
    "validation_samples": 5380,
    "test_samples": 5390,
    "image_size": [
      48,
      48
    ],
    "num_classes": 7,
    "emotions": [
      "angry",
      "disgust",
      "fear",
      "happy",
      "sad",
      "surprise",
      "neutral"
    ]
  },
  "quality_statistics": {
    "mean_quality": 0.43565657111814865,
    "std_quality": 0.08316229539578013,
    "min_quality": 0.0,
    "max_quality": 1.0,
    "quality_by_emotion": {
      "fear": 0.44484601665885565,
      "surprise": 0.4446220721164417,
      "angry": 0.44085777091661615,
      "happy": 0.4339509116309934,
      "neutral": 0.4289771392626654,
      "sad": 0.4280626244143492,
      "disgust": 0.4250150312248629
    }
  },
  "emotion_distribution": {
    "counts": {
      "happy": 8989,
      "neutral": 6198,
      "sad": 6077,
      "fear": 5121,
      "angry": 4953,
      "surprise": 4002,
      "disgust": 547
    },
    "percentages": {
      "happy": 25.048067545350683,
      "neutral": 17.270878033828403,
      "sad": 16.93370858528158,
      "fear": 14.269791289324827,
      "angry": 13.801655195474686,
      "surprise": 11.151670521358708,
      "disgust": 1.524228829381113
    }
  },
  "split_distribution": {
    "train_percentage": 69.9891325549642,
    "validation_percentage": 14.991501100677127,
    "test_percentage": 15.019366344358682
  },
  "features": {
    "total_features": 16,
    "feature_list": [
      "sample_id",
      "emotion",
      "emotion_name",
      "pixels",
      "Usage",
      "quality_score",
      "brightness",
      "contrast",
      "sample_weight",
      "pixel_mean",
      "pixel_std",
      "pixel_min",
      "pixel_max",
      "edge_score",
      "focus_score",
      "brightness_score"
    ],
    "enhancement_features": [
      "quality_score",
      "brightness",
      "contrast",
      "sample_weight",
      "pixel_mean",
      "pixel_std",
      "pixel_min",
      "pixel_max",
      "edge_score",
      "focus_score",
      "brightness_score"
    ]
  }
}