Datasets:
ArXiv:
License:
| { | |
| "name": "07_Image_Super_Resolution_SRCNN_Set5_DL", | |
| "query": "Hi, I need to create a project for image super-resolution using the SRCNN model with the Set5 dataset (available from `https://huggingface.co/datasets/eugenesiow/Set5`). Load the dataset in `src/data_loader.py`. When loading the data, include image preprocessing steps such as resizing and normalization, all in `src/data_loader.py`. The SRCNN model should be loaded and used in `src/model.py`. Save 5 sets of comparison images, zooming in on details, as `results/figures/super_resolution_compare.png`, and the super-resolution results as `results/figures/super_resolution_results.png`. The generated images should be high-quality and clearly show improvements.", | |
| "tags": [ | |
| "Computer Vision", | |
| "Generative Models" | |
| ], | |
| "requirements": [ | |
| { | |
| "requirement_id": 0, | |
| "prerequisites": [], | |
| "criteria": "The \"Set5\" dataset (available from \"Hugging Face\") is loaded in `src/data_loader.py`.", | |
| "category": "Dataset or Environment", | |
| "satisfied": null | |
| }, | |
| { | |
| "requirement_id": 1, | |
| "prerequisites": [ | |
| 0 | |
| ], | |
| "criteria": "Image preprocessing, including resizing and normalization, is performed in `src/data_loader.py`.", | |
| "category": "Data preprocessing and postprocessing", | |
| "satisfied": null | |
| }, | |
| { | |
| "requirement_id": 2, | |
| "prerequisites": [], | |
| "criteria": "The \"SRCNN\" model is used in `src/model.py`.", | |
| "category": "Machine Learning Method", | |
| "satisfied": null | |
| }, | |
| { | |
| "requirement_id": 3, | |
| "prerequisites": [ | |
| 0, | |
| 1, | |
| 2 | |
| ], | |
| "criteria": "Five sets of comparison images are saved, with details zoomed in, and saved as `results/figures/super_resolution_compare.png`.", | |
| "category": "Visualization", | |
| "satisfied": null | |
| }, | |
| { | |
| "requirement_id": 4, | |
| "prerequisites": [ | |
| 0, | |
| 1, | |
| 2 | |
| ], | |
| "criteria": "Super-resolution results are saved as `results/figures/super_resolution_results.png`.", | |
| "category": "Visualization", | |
| "satisfied": null | |
| } | |
| ], | |
| "preferences": [ | |
| { | |
| "preference_id": 0, | |
| "criteria": "The project should generate high-quality, clear super-resolution images with detailed comparisons.", | |
| "satisfied": null | |
| }, | |
| { | |
| "preference_id": 1, | |
| "criteria": "Well-organized output images, highlighting key improvements, should be included.", | |
| "satisfied": null | |
| } | |
| ], | |
| "is_kaggle_api_needed": false, | |
| "is_training_needed": true, | |
| "is_web_navigation_needed": true | |
| } |