Datasets:
File size: 2,266 Bytes
47c5feb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
---
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). |