| --- |
| |
| name: "FER2025" |
| tags: ["facial-emotion", "FER", "emotion-recognition", "deep-learning"] |
| license: "cc-by-nc-4.0" |
|
|
| --- |
| |
| # FER2025 – Facial Expression Recognition Dataset |
|
|
| [](#license--attribution) |
| [](#overview) |
| [](#overview) |
|
|
| --- |
|
|
| ## Overview |
|
|
| **FER2025** is a **large-scale, balanced facial emotion dataset** designed for **deep learning and computer vision research**. It contains **1,589,810 images** across **7 emotion classes**: |
|
|
| | Class | Images | |
| |------------|---------| |
| | Angry | 224,624 | |
| | Disgust | 239,366 | |
| | Fear | 223,466 | |
| | Happy | 222,082 | |
| | Neutral | 234,230 | |
| | Sad | 217,884 | |
| | Surprise | 228,158 | |
|
|
| **Image formats:** jpg, jpeg, png |
| **Balanced:** Maximum class difference ≈ 1.3% |
|
|
| FER2025 is suitable for **feature extraction, model training, and benchmarking**and**Training deep learning model**. |
|
|
| --- |
|
|
| ## Dataset Structure |
|
|
| FER2025/ ➡️ Angry.tar | Disgust.tar | Fear.tar | Happy.tar | Neutral.tar | Sad.tar | Surprise.tar |
|
|
| Each TAR contains **images + corresponding `.cls` label files** for efficient streaming. |
|
|
| --- |
|
|
| ## Recommended Usage |
|
|
| - **Feature Extraction:** ResNet, EfficientNet, ViT embeddings |
| - **Training & Evaluation:** Balanced classes remove need for oversampling or class weighting |
| - **Large-Scale Training:** Use TAR/WebDataset format for GPU-efficient streaming |
|
|
| --- |
|
|
| ## Example: Loading FER2025 with PyTorch + WebDataset |
|
|
| ```python |
| import webdataset as wds |
| from torchvision import transforms |
| import torch |
| |
| transform = transforms.Compose([ |
| transforms.Resize((224,224)), |
| transforms.ToTensor(), |
| ]) |
| |
| dataset = ( |
| wds.WebDataset("FER2025/{Angry,Disgust,Fear,Happy,Neutral,Sad,Surprise}.tar") |
| .decode("pil") |
| .to_tuple("jpg", "cls") |
| .map_tuple(transform, int) |
| ) |
| |
| loader = torch.utils.data.DataLoader(dataset, batch_size=64, num_workers=4, shuffle=True) |
| |
| for images, labels in loader: |
| print(images.shape, labels.shape) |
| break |
| ``` |
|
|
| --- |
|
|
| ## License & Ethical Use |
|
|
| **License:** CC BY-NC 4.0 – Attribution required, non-commercial use |
|
|
| **Ethical Use:** Images are sourced from publicly available data for research. Users must respect privacy and avoid commercial misuse. |
|
|
| --- |
|
|
| ## Citations |
|
|
| @dataset |
| {FER2025, |
| author = {Adhavan M}, |
| title = {FER2025: Large-Scale Balanced Facial Expression Dataset}, |
| year = {2025}, |
| url = https://huggingface.co/datasets/imadhavan/FER2025 |
| } |
|
|
