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--- |
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task_categories: |
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- image-classification |
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tags: |
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- emotions |
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size_categories: |
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- 100K<n<1M |
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--- |
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A merged emotions dataset was created using a highly curated subset of ExpW, FER2013 (enhanced with FER2013+), AffectNet (6 emotions), and RAF-DB in YOLO format, totaling approximately 155K samples. A YOLOv11-x model, fine-tuned on the WiderFace dataset for the bounding boxes, was used. The distribution is as follows: |
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TRAIN Set Class Distribution: |
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* Class 0 (Angry): 8511 (6.84%) |
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* Class 1 (Disgust): 6307 (5.07%) |
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* Class 2 (Fear): 4249 (3.41%) |
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* Class 3 (Happy): 37714 (30.30%) |
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* Class 4 (Neutral): 39297 (31.57%) |
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* Class 5 (Sad): 15809 (12.70%) |
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* Class 6 (Surprise): 12593 (10.12%) |
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VAL Set Class Distribution: |
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* Class 0 (Angry): 1091 (6.98%) |
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* Class 1 (Disgust): 815 (5.21%) |
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* Class 2 (Fear): 583 (3.73%) |
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* Class 3 (Happy): 4722 (30.19%) |
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* Class 4 (Neutral): 4894 (31.29%) |
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* Class 5 (Sad): 1927 (12.32%) |
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* Class 6 (Surprise): 1607 (10.28%) |
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TEST Set Class Distribution: |
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* Class 0 (Angry): 1080 (6.91%) |
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* Class 1 (Disgust): 771 (4.93%) |
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* Class 2 (Fear): 514 (3.29%) |
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* Class 3 (Happy): 4744 (30.36%) |
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* Class 4 (Neutral): 4962 (31.75%) |
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* Class 5 (Sad): 1998 (12.79%) |
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* Class 6 (Surprise): 1557 (9.96%) |
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TOTAL Set Class Distribution: |
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* Class 0 (Angry): 10682 (6.86%) |
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* Class 1 (Disgust): 7893 (5.07%) |
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* Class 2 (Fear): 5346 (3.43%) |
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* Class 3 (Happy): 47180 (30.29%) |
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* Class 4 (Neutral): 49153 (31.56%) |
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* Class 5 (Sad): 19734 (12.67%) |
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* Class 6 (Surprise): 15,757 (10.12%) |
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As you can see, there is a significant imbalance between classes. We can see it more clearly here: |
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## Limitations |
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Many of the images do not represent the described emotions and some are merely meaningless grimaces. Moreover, some images appear multiple times across the train, validation, and test sets. Honestly, I wonder how researchers manage to work with these kinds of datasets, despite their widespread use. Regardless, I did my best to improve it without rebuilding it from the ground up. |
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The 'contempt' emotion in AffectNet was also removed because it was not included in the other datasets and would have contributed to greater class imbalance. |
