Update README.md

README.md

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-license: cc-by-sa-4.0
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+---
+license: cc-by-sa-4.0
+task_categories:
+- robotics
+- object-detection
+tags:
+- robotics
+- computer-vision
+- object-detection
+- agriculture
+---
+
+
+# VERIDIS Dataset
+
+## Overview
+
+This repository contains the **VERIDIS** dataset, a collection of annotated agricultural images for crop detection and identification. The dataset comprises field images of beet and corn crops captured by a ground-level robotic platform, organized in YOLO format for object detection tasks.
+
+The dataset includes 10,077 total files distributed across training (9,100 files), validation (488 files), and test (489 files) sets, with images of two crop types: beet (Class 0) and corn (Class 1).
+
+## Repository Contents
+
+### Main Dataset
+
+- **veridis.zip**
+  - Main dataset containing the complete collection of data for identity verification research
+  - Recently updated with the latest version of the dataset
+  - Format: Compressed ZIP archive
+
+### Processing Scripts
+
+#### 1. `anonymize_persons.py`
+Script designed for anonymizing personal data within the dataset. It implements privacy-preserving techniques to protect personally identifiable information while maintaining data utility for research purposes.
+
+
+#### 2. `data_augmentation.py`
+Data augmentation script that expands the dataset through systematic transformations and variations generation.
+
+#### 3. `extract_frames.py`
+Tool for extracting individual frames from video sequences or temporal data.
+
+
+#### 4. `train.py`
+Main training script for machine learning and deep learning models on the VERIDIS dataset.
+
+
+## License
+
+This project is licensed under **CC-BY-SA-4.0** (Creative Commons Attribution-ShareAlike 4.0 International).