README.md

---
dataset_info:
  features:
  - name: caption
    dtype: string
  - name: width
    dtype: int64
  - name: height
    dtype: int64
  - name: filename
    dtype: string
  - name: std512_hash
    dtype: string
  - name: colorboost_hash
    dtype: string
  - name: grayscale_hash
    dtype: string
  - name: edges_hash
    dtype: string
  - name: edges
    dtype: image
  - name: grayscale
    dtype: image
  - name: std512
    dtype: image
  - name: colorboost
    dtype: image
  splits:
  - name: train
    num_bytes: 1482878357.415
    num_examples: 4149
  download_size: 1384883967
  dataset_size: 1482878357.415
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-4.0
task_categories:
- image-to-image
- image-segmentation
- image-to-text
language:
- en
size_categories:
- 1K<n<10K
---


## **Dataset Summary**

`ESmike/true_imgs_modalities` is a multimodal dataset containing **4,149 real images** at a uniform resolution of **512 × 512**, along with multiple derived modalities for each image.
This dataset is intended for research and experimentation in computer vision, generative modeling, and multimodal learning.

All images originate from real photographs curated and processed. Each base image is provided alongside additional modality representations (details in the *Data Fields* section).

If you use this dataset in your research, add the below citation.

---

## **Supported Tasks and Use Cases**

This dataset can be used for a wide range of tasks, including:

* Multimodal image-to-image training
* Generative model conditioning
* Representation learning
* Vision–language / multimodal modeling
* Super-resolution or transformation tasks
* Benchmarking image encoders

---

## **Dataset Structure**


## **Data Fields**

* **image**: The original real 512×512 image.
* **caption**: A short text description of the image.
**filename**: Original filename used during dataset creation.
**width**, **height**: Original image dimensions before standardization.
**std512**: The main 512×512 standardized real image.
**colorboost**: A color-enhanced version of the image.
**grayscale**: A grayscale transformation of the image.
**edges**: Edge-detected version of the image.

---

## **Citation**

If you use this dataset, please cite:

```
@dataset{esmike_true_imgs_modalities,
  author = {Eric Saikali},
  title = {true_imgs_modalities},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/ESmike/true_imgs_modalities}
}
```

---

## **How to Use**

```python
from datasets import load_dataset

ds = load_dataset("ESmike/true_imgs_modalities")
example = ds["train"][0]

image = example["image"]
modality = example["std512"]
```