Update README.md

README.md

@@ -52,32 +52,84 @@ De_vuelta_a_casa/
 
 Each folder contains images organized by region and species.
 
-🏷️# Dataset Details
+## 🏷️Dataset Details
 Total number of images: [Add the total number of images here]
 Number of species: [Add the number of species here]
+Geographic Regions: Caribbean and Pacific from Costa Rica
+OverCategories:
+  -Bivalves: Two-shelled mollusks (e.g., clams, oysters)
+  -Gastropoda: Single-shelled mollusks (e.g., snails)
 Image sources: Images collected from various public online sources.
 Average resolution: [Add the average image resolution here, if relevant].
 Labels: Each image is labeled with the species name it belongs to.
+Sources: Publicly available images from the internet
+Image Format: JPEG/PNG
+Labels: Species name and geographic region
 
-🚀 How to Use the Dataset
-You can load the dataset directly from Hugging Face with the following code:
-from datasets import load_dataset
+## 📊 Applications
+This dataset can be used for:
+
+**Marine Biodiversity Research:** Studying species distribution and diversity.
+**Image Classification:** Training models to identify and classify mollusk species.
+**Environmental Studies:** Understanding the impact of environmental factors on species distribution.
+**Educational Purposes:** Teaching about marine ecosystems and mollusk species.
+
+## 🚀 Getting Started
+### 📥 Download the Dataset
+You can download the dataset directly from Hugging Face using the following command:
 ```python
-# Load the dataset
-dataset = load_dataset("De_vuelta_a_casa", split="train")
+pip install datasets
+```
+```python
+from datasets import load_dataset
 
-# Example: Access Bivalves from the Caribbean
-caribbean_bivalves = dataset["Dataset/Bivalves/Caribbean/"]
+dataset = load_dataset("De_vuelta_a_casa", split="train")
+```
+### 🔍 Access Specific Categories
+To access images from specific categories:
 
-# Example: Access Gastropoda from the Pacific
-pacific_gastropoda = dataset["Dataset/Gastropoda/Pacific/"]
+**Bivalves (Caribbean):**
+```python
+dataset["Dataset/Bivalves/Caribbean/"]
+```
+**Bivalves (Pacific):**
+```python
+dataset["Dataset/Bivalves/Pacific/"]
+```
+**Gastropoda (Caribbean):**
+```python
+dataset["Dataset/Gastropoda/Caribbean/"]
+```
+**Gastropoda (Pacific):**
+```python
+dataset["Dataset/Gastropoda/Pacific/"]
 ```
 
-⚠️# Considerations and License
-This dataset contains images collected from the internet and is intended for educational and research purposes only.
-It is recommended to verify the images before using them in commercial projects.
-Please respect the copyright associated with the images collected.
+## 📜 Licensing and Usage
+License: MIT License
+Usage:
+This dataset is intended for educational and research purposes only.
+Commercial use of the dataset requires prior verification of the original image sources.
+Respect the copyright and intellectual property rights associated with the collected images.
 
-🌟 Acknowledgments
-Special thanks to all the public sources and individuals who contributed to the knowledge and documentation of marine species. This work aims to support biodiversity preservation and scientific research.
+
+## 🌟 Acknowledgments
+Special thanks to:
+
+All contributors who have made marine species documentation publicly available.
+The creators of open-source tools that have enabled this project.
+This dataset was created to promote awareness of marine biodiversity and support scientific research. We hope it helps researchers, educators, and enthusiasts understand and protect our oceans' ecosystems.
+
+## 🔗 Citation
+If you use this dataset in your research, please cite it as follows:
+
+```bibtex
+@dataset{de_vuelta_a_casa,
+  title = {De_vuelta_a_casa: Sea Shell Image Dataset},
+  author = {JoystickData Team},
+  year = {2025},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/datasets/De_vuelta_a_casa}
+}
+```