1. Introduction
1.1. Motivation
1.2. Related work
1.3. Contribution and survey structure

2. Preliminaries
2.1. Types of particles
2.2. Performance measures

3. HEP Jet Image Representation
3.1. Available datasets
3.2. Pre-processing of Jet images
3.3. Feature extraction and selection

4. Available AI Models for HEP Jet Images

5. HEP Jet Image Classification
5.1. Quantum ML-based
5.2. DNN-based methods
5.3. CNN-based methods
5.4. Adversarial training-based methods
5.5. RNN-based methods
5.6. MLP-based methods

6. Applications of AI-Based Jet Image
6.1. Parameters scan
6.2. Jet classification and tagging
6.3. Jet tracking
6.4. Jet image generation

7. Future Direction and Outlook

8. Conclusion