# Eye Disease Dataset

## Description

The Eye Disease Dataset is a collection of images related to various eye diseases. It provides a valuable resource for training and evaluating computer vision models for eye disease detection and classification. The dataset includes images representing five different eye disease classes: Bulging Eyes, Cataracts, Crossed Eyes, Glaucoma, and Uveitis.

## Dataset Details

- Dataset Name: Falah/eye-disease-dataset
- Number of Rows: 383
- Class Labels:

  - '0': Bulging Eyes
  - '1': Cataracts
  - '2': Crossed Eyes
  - '3': Glaucoma
  - '4': Uveitis

## Usage

### Installation

You can install the dataset using the Hugging Face Datasets library:

```bash
pip install datasets
```

### Accessing the Dataset

To access the Eye Disease Dataset, you can use the following Python code:

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("falah/eye-disease-dataset")
```

### Dataset Structure

The dataset consists of a collection of images, each labeled with a specific eye disease class. The images are stored in a directory structure where each class has its own subdirectory. The directory structure is as follows:

```
├── Bulging_Eyes
│   ├── image1.jpg
│   ├── image2.jpg
│   └── ...
├── Cataracts
│   ├── image1.jpg
│   ├── image2.jpg
│   └── ...
├── Crossed_Eyes
│   ├── image1.jpg
│   ├── image2.jpg
│   └── ...
├── Glaucoma
│   ├── image1.jpg
│   ├── image2.jpg
│   └── ...
└── Uveitis
    ├── image1.jpg
    ├── image2.jpg
    └── ...
```

### Example Usage

Here's an example of how to load and visualize the Eye Disease Dataset:

```python
import matplotlib.pyplot as plt

# Load the dataset
dataset = load_dataset("falah/eye-disease-dataset")

# Display the first image and its label
image = dataset["train"][0]["image"]
label = dataset["train"][0]["label"]

plt.imshow(image)
plt.title(f"Class Label: {label}")
plt.axis("off")
plt.show()
```

## Citation

If you use the Eye Disease Dataset in your research or project, please consider citing it as:

```
@dataset{falah/eye-disease-dataset,
  author = {Falah},
  title = {Eye Disease Dataset},
  year = {2023},
  publisher = {Hugging Face},
  version = {1.0.0},
  url = {https://huggingface.co/falah/eye-disease-dataset}
}
```

## License

The Eye Disease Dataset is available under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/legalcode) license.
region:us
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "Bulging_Eyes", "1": "Cataracts", "2": "Crossed_Eyes", "3": "Glaucoma", "4": "Uveitis"}}}}], "splits": [{"name": "train", "num_bytes": 2558487.0, "num_examples": 383}], "download_size": 0, "dataset_size": 2558487.0}}
TAGS
#region-us 

# Eye Disease Dataset

## Description

The Eye Disease Dataset is a collection of images related to various eye diseases. It provides a valuable resource for training and evaluating computer vision models for eye disease detection and classification. The dataset includes images representing five different eye disease classes: Bulging Eyes, Cataracts, Crossed Eyes, Glaucoma, and Uveitis.

## Dataset Details

- Dataset Name: Falah/eye-disease-dataset
- Number of Rows: 383
- Class Labels:

  - '0': Bulging Eyes
  - '1': Cataracts
  - '2': Crossed Eyes
  - '3': Glaucoma
  - '4': Uveitis

## Usage

### Installation

You can install the dataset using the Hugging Face Datasets library:



### Accessing the Dataset

To access the Eye Disease Dataset, you can use the following Python code:



### Dataset Structure

The dataset consists of a collection of images, each labeled with a specific eye disease class. The images are stored in a directory structure where each class has its own subdirectory. The directory structure is as follows:



### Example Usage

Here's an example of how to load and visualize the Eye Disease Dataset:



If you use the Eye Disease Dataset in your research or project, please consider citing it as:



## License

The Eye Disease Dataset is available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
# Eye Disease Dataset ## Description

The Eye Disease Dataset is a collection of images related to various eye diseases. It provides a valuable resource for training and evaluating computer vision models for eye disease detection and classification. The dataset includes images representing five different eye disease classes: Bulging Eyes, Cataracts, Crossed Eyes, Glaucoma, and Uveitis. ## Dataset Details

- Dataset Name: Falah/eye-disease-dataset
- Number of Rows: 383
- Class Labels:

  - '0': Bulging Eyes
  - '1': Cataracts
  - '2': Crossed Eyes
  - '3': Glaucoma
  - '4': Uveitis ## Usage ### Installation

You can install the dataset using the Hugging Face Datasets library: ### Accessing the Dataset

To access the Eye Disease Dataset, you can use the following Python code: ### Dataset Structure

The dataset consists of a collection of images, each labeled with a specific eye disease class. The images are stored in a directory structure where each class has its own subdirectory. The directory structure is as follows: ### Example Usage

Here's an example of how to load and visualize the Eye Disease Dataset:



If you use the Eye Disease Dataset in your research or project, please consider citing it as: ## License

The Eye Disease Dataset is available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
TAGS
#region-us 
 # Eye Disease Dataset ## Description

The Eye Disease Dataset is a collection of images related to various eye diseases. It provides a valuable resource for training and evaluating computer vision models for eye disease detection and classification. The dataset includes images representing five different eye disease classes: Bulging Eyes, Cataracts, Crossed Eyes, Glaucoma, and Uveitis. ## Dataset Details

- Dataset Name: Falah/eye-disease-dataset
- Number of Rows: 383
- Class Labels:

  - '0': Bulging Eyes
  - '1': Cataracts
  - '2': Crossed Eyes
  - '3': Glaucoma
  - '4': Uveitis ## Usage ### Installation

You can install the dataset using the Hugging Face Datasets library: ### Accessing the Dataset

To access the Eye Disease Dataset, you can use the following Python code: ### Dataset Structure

The dataset consists of a collection of images, each labeled with a specific eye disease class. The images are stored in a directory structure where each class has its own subdirectory. The directory structure is as follows: ### Example Usage

Here's an example of how to load and visualize the Eye Disease Dataset:



If you use the Eye Disease Dataset in your research or project, please consider citing it as: ## License

The Eye Disease Dataset is available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
passage: TAGS
#region-us 
# Eye Disease Dataset## Description

The Eye Disease Dataset is a collection of images related to various eye diseases. It provides a valuable resource for training and evaluating computer vision models for eye disease detection and classification. The dataset includes images representing five different eye disease classes: Bulging Eyes, Cataracts, Crossed Eyes, Glaucoma, and Uveitis.## Dataset Details

- Dataset Name: Falah/eye-disease-dataset
- Number of Rows: 383
- Class Labels:

  - '0': Bulging Eyes
  - '1': Cataracts
  - '2': Crossed Eyes
  - '3': Glaucoma
  - '4': Uveitis## Usage### Installation

You can install the dataset using the Hugging Face Datasets library:### Accessing the Dataset

To access the Eye Disease Dataset, you can use the following Python code:### Dataset Structure

The dataset consists of a collection of images, each labeled with a specific eye disease class. The images are stored in a directory structure where each class has its own subdirectory. The directory structure is as follows:### Example Usage

Here's an example of how to load and visualize the Eye Disease Dataset:



If you use the Eye Disease Dataset in your research or project, please consider citing it as:## License

The Eye Disease Dataset is available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.