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base_model: microsoft/resnet-50
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tags:
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- image-classification
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- ferplus
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- emotions
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# Fine-Tuned ResNet-50 on FERPlus Dataset
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This model is a fine-tuned version of ResNet-50 on the [FERPlus dataset](https://www.kaggle.com/datasets/arnabkumarroy02/ferplus), which is more balanced ferplus dataset as owner claimed.
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## Model Details
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- **Base Model**: [Microsoft ResNet-50](https://huggingface.co/microsoft/resnet-50)
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- **Dataset**: FERPlus, which contains grayscale images of faces labeled with emotion categories.
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- **Task**: Emotion Classification
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- **Labels**:
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- 0: Angry
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- 1: Contempt
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- 2: Disgust
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- 3: Fear
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- 4: Happy
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- 5: Neutral
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- 6: Sad
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- 7: Surprise
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## Training Details
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This model was fine-tuned on FERPlus dataset images resized to 224x224 pixels. Standard data augmentation techniques were applied, and normalization was performed with the following values:
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- **Mean**: `[0.485, 0.456, 0.406]`
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- **Standard Deviation**: `[0.229, 0.224, 0.225]`
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