Update README.md

README.md

@@ -1,38 +1,33 @@
 ---
 license: mit
 task_categories:
-  - text-classification
+  - image-classification
 tags:
   - biology
   - marine-life
-pretty_name: 'Clasificación de conchas de mar'
+  - biodiversity
+pretty_name: 'Sea Shell Classification Dataset'
 size_categories:
   - 1K<n<10K
 ---
 
+# 🐚 De_vuelta_a_casa: Sea Shell Image Dataset
 
-🐚# De_vuelta_a_casa: Dataset of Sea Shell Images
-🌊## Dataset Description
-The "De_vuelta_a_casa" dataset contains images of sea shells classified by species from two geographic regions: Caribbean and Pacific. The dataset is organized into two main categories of mollusks:
+## 🌊 Dataset Description
+The **De_vuelta_a_casa** dataset contains images of sea shells classified by species and divided into two geographic regions: **Caribbean** and **Pacific**. The dataset is organized into two main categories of mollusks:
 
-Bivalves: Mollusks with two shells (e.g., clams, oysters).
-Gastropoda: Mollusks with a single shell (e.g., snails).
+- **Bivalves**: Mollusks with two shells (e.g., clams, oysters).
+- **Gastropoda**: Mollusks with a single shell (e.g., snails).
 
-The images were collected from various online sources and carefully classified by species within each geographic region. This dataset is designed for use in image classification projects, marine biodiversity studies, and marine biology research.
-This dataset contains images of sea shells, divided into two main categories:
+Images were sourced from publicly available online resources and meticulously categorized by species within each geographic region. This dataset is ideal for:
+- Image classification projects.
+- Marine biodiversity research.
+- Studies in marine biology.
 
-Bivalves
-  Caribbean
-  Pacific
-Gastropoda
-  Caribbean
-  Pacific
-  
-The images were sourced from publicly available internet data, and species are classified according to their region.
-📂@ Dataset Structure
-The dataset is organized into the following folder structure:
+## 📂 Dataset Structure
+The dataset follows the folder structure below:
 
-```python
+```plaintext
 De_vuelta_a_casa/
 ├── Dataset/
     ├── Bivalves/
@@ -54,6 +49,7 @@ De_vuelta_a_casa/
             ├── species_2.jpg
             └── ...
 ```
+
 Each folder contains images organized by region and species.
 
 🏷️# Dataset Details
@@ -63,32 +59,18 @@ 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.
 
-🔍# Potential Applications
-This dataset can be useful for:
-
-Classification of mollusk images.
-Marine biodiversity studies.
-Analysis of patterns and features among species from different regions.
-Training deep learning models for automatic species identification.
-🚀# How to Use the Dataset
-You can load the dataset directly from Hugging Face using the datasets library in Python:
-
-
-
+🚀 How to Use the Dataset
+You can load the dataset directly from Hugging Face with the following code:
 from datasets import load_dataset
 ```python
+# Load the dataset
 dataset = load_dataset("De_vuelta_a_casa", split="train")
-```
 
-To access specific images:
+# Example: Access Bivalves from the Caribbean
+caribbean_bivalves = dataset["Dataset/Bivalves/Caribbean/"]
 
-Bivalves from the Caribbean:
-```python
-dataset["Dataset/Bivalves/Caribbean/"]
-```
-Gastropoda from the Pacific:
-```python
-dataset["Dataset/Gastropoda/Pacific/"]
+# Example: Access Gastropoda from the Pacific
+pacific_gastropoda = dataset["Dataset/Gastropoda/Pacific/"]
 ```
 
 ⚠️# Considerations and License