Datasets:
| license: cc-by-nc-4.0 | |
| task_categories: | |
| - image-segmentation | |
| tags: | |
| - anomaly-detection | |
| - continual-learning | |
| - benchmark | |
| # Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection | |
| This repository contains the dataset for **Continual-MEGA**, a new benchmark for continual learning in anomaly detection, introduced in the paper [Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection](https://huggingface.co/papers/2506.00956). | |
| Continual-MEGA aims to better reflect real-world deployment scenarios. It features a large and diverse dataset that significantly expands existing evaluation settings by combining carefully curated existing datasets with the newly proposed **ContinualAD** dataset. The benchmark also proposes a novel scenario for measuring zero-shot generalization to unseen classes, particularly focusing on pixel-level defect localization. | |
| For the associated evaluation code, checkpoint files, and further details, please refer to the GitHub repository: [https://github.com/Continual-Mega/Continual-Mega-Neurips2025](https://github.com/Continual-Mega/Continual-Mega-Neurips2025) | |
| ## Dataset Structure | |
| The Continual-MEGA benchmark dataset combines data from various sources, structured as follows: | |
| ``` | |
| data/ | |
| ├── continual_ad/ # Our proposed ContinualAD dataset | |
| ├── mvtec_anomaly_detection/ # MVTec-AD dataset | |
| ├── VisA_20220922/ # VisA dataset | |
| ├── VIADUCT/ # VIADUCT dataset | |
| ├── Real-IAD-512/ # RealIAD dataset (512 size) | |
| ├── MPDD/ # MPDD dataset | |
| └── BTAD/ # BTAD | |
| ``` | |
| ## Sample Usage (Evaluation) | |
| The evaluation code for the Continual-MEGA benchmark is available in the associated GitHub repository. After cloning the repository and setting up, you can run the following commands: | |
| ### Continual Settings Evaluation | |
| ```bash | |
| sh eval_continual.sh | |
| ``` | |
| ### Zero-Shot Generalization Evaluation | |
| ```bash | |
| sh eval_zero.sh | |
| ``` | |
| For detailed setup instructions, including downloading CLIP pretrained weights and specific checkpoint files, please visit the [official GitHub repository](https://github.com/Continual-Mega/Continual-Mega-Neurips2025). |