| --- |
| license: mit |
| pretty_name: DLAA Trainer Image Dataset |
| task_categories: |
| - image-to-image |
| - image-classification |
| language: |
| - en |
| tags: |
| - image-restoration |
| - anti-aliasing |
| - dlaa |
| - texture |
| - computer-vision |
| - comfyui |
| - solricks |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # DLAA Trainer Image Dataset |
|
|
| This dataset contains a cleaned collection of high-resolution portrait, nature, object, texture, and geometric images prepared for training and evaluating lightweight image restoration, anti-aliasing, and texture refinement models. |
|
|
| It was prepared as part of the `DLAANet.safetensors` and `DLAATexture.safetensors` experimentation workflow, especially for improving edge quality, fine detail stability, texture preservation, geometric consistency, and visual cleanup in image and video pipelines. |
|
|
| ## Dataset Structure |
|
|
| The dataset is stored under: |
|
|
| ```text |
| dataset/ |
| ├── image_001.jpg |
| ├── image_002.jpg |
| ├── image_003.png |
| └── ... |
