Update README.md

README.md

@@ -16,9 +16,9 @@ This COCO dataset is designed for real-time "precise eye detection" task under v
 ## **Dataset Splits**
 This dataset is intentionally provided as a **single training split** containing all 72,317 examples. This design choice allows researchers to:  
 
-- Create custom split ratios tailored to their specific needs  
-- Ensure different random seeds don't lead to overlapping examples between studies  
-- Implement cross-validation strategies more flexibly  
+- Create custom split ratios tailored to their specific needs.  
+- Ensure different random seeds don't lead to overlapping examples between studies.  
+- Implement cross-validation strategies more flexibly.  
 
 You are responsible for creating appropriate validation and test splits using the provided training data. We recommend using 70-80% for training, 10-15% for validation, and 10-15% for testing, depending on your requirements.
 
@@ -94,18 +94,18 @@ coco_dataset = CocoDetection(
 # <span style="font-size: 1.5em; font-weight: bold;">Preprocessing e Augmentation applied</span>
 
 1. **<u>Preprocessing</u>**:
-   - Auto-orientation (with EXIF orientation stripping)
-   - Resize to 640x640 (Stretch)
+   - Auto-orientation (with EXIF orientation stripping).
+   - Resize to 640x640 (Stretch).
 
 2. **<u>Data Augmentation</u>** (create 7 versions for each image):
-   - Random crop: 0-30% of the image
-   - Random rotation: ±15 degrees
-   - Random shear: ±15° horizontal/vertical
-   - Brightness adjustment: ±25%
-   - Exposure adjustment: ±15%
-   - Gaussian blur: up to 1.2px
-   - Salt and pepper noise: 0.3% of pixels
-   - Cutout: 7 boxes, each with a size of 2%
+   - Random crop: 0-30% of the image.
+   - Random rotation: ±15 degrees.
+   - Random shear: ±15° horizontal/vertical.
+   - Brightness adjustment: ±25%.
+   - Exposure adjustment: ±15%.
+   - Gaussian blur: up to 1.2px.
+   - Salt and pepper noise: 0.3% of pixels.
+   - Cutout: 7 boxes, each with a size of 2%.
 
 
 # <span style="font-size: 1.5em; font-weight: bold;">Repository File Structure</span>
@@ -126,9 +126,9 @@ Eyes-Detection/
 # <span style="font-size: 1.5em; font-weight: bold;">License - CC BY-NC-SA 4.0</span>
 
 1. **<u>What you can do</u>**:
-   - Share - copy and redistribute the material
-   - Adapt - remix, transform, and create derivative works
-   - Use for research, study, and non-commercial projects
+   - Share - copy and redistribute the material.
+   - Adapt - remix, transform, and create derivative works.
+   - Use for research, study, and non-commercial projects.
 
 2. **<u>Mandatory conditions</u>**:
    - Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made.
@@ -148,8 +148,8 @@ Eyes-Detection/
 
 
 # <span style="font-size: 1.5em; font-weight: bold;">Limitations and Ethical Considerations</span>  
-- The dataset contains <u>images of faces</u>
-- Use permitted <u>only for non-commercial purposes</u>
+- The dataset contains <u>images of faces</u>.
+- Use permitted <u>only for non-commercial purposes</u>.
 - It is the user's responsibility to ensure ethical use in compliance with privacy laws.