Update README.md

README.md

@@ -7,4 +7,68 @@ tags:
 - One-Shot
 - Material-Segmentation
 - Soft-Segmentation
----
+---
+
+## MatSeg Dataset — Overview
+
+The MatSeg dataset focuses on **zero-shot segmentation of materials and their states**  identifying image regions belonging to a specific material type or state, without any prior training on that material, state, or environment.
+
+It emphasizes complex, scattered, and sparse material boundaries, as well as soft similarity and gradual transitions between materials.
+
+**For Example:**
+- Wet regions on surfaces
+- Scattered dust
+- Minerals in rocks
+- Sediment in soils
+- Rotten parts of fruits
+- Degraded and corrosive surface regions
+- Regions belonging to different materials
+
+---
+
+## Paper
+
+This dataset is introduced and described in:
+[Infusing Synthetic Data with Real-World Patterns for
+Zero-Shot Material State Segmentation](https://proceedings.neurips.cc/paper_files/paper/2024/file/6ef4a4b387a5a547ea699f3df7fc1248-Paper-Datasets_and_Benchmarks_Track.pdf)
+
+
+## Training Dataset
+
+Composed of **100,000 images**, the synthetic dataset including **3D rendered scenes** with realistic illumination and PBR materials as well as  **2D maps**.
+With textures boundaries extracted from real-world images and infused into synthetic data
+---
+
+# Real-World Benchmark
+
+The benchmark contains **1,220 annotated real-world images** for evaluation and testing across a diverse set of material states and environments.
+
+It focuses on:
+
+- **Zero-shot segmentation of material states**
+- Separation between **different states of the same material**
+- Segmentation of materials with **complex and scattered boundaries**
+
+For Example:
+
+- Food states and spoilage  
+- Plant diseases and infections  
+- Rocks and minerals  
+- Soil and sediment  
+- Corrosion and rust  
+- Liquids and foam  
+- Worn or degraded surfaces  
+- Diverse unconstrained environment
+
+
+
+
+## File Structure
+
+| File | Description |
+|---|---|
+| `Dataset_Documentation_And_Readers.zip` | Dataset readers and technical documentation |
+| `MatSeg_Benchmark.zip` | Real-world evaluation benchmark |
+| `MatSeg2D_part_*.zip` | 2D synthetic training set |
+| `MatSeg3D_part_*.zip` | 3D synthetic training set |
+