Update README.md

README.md

@@ -5,13 +5,14 @@ license_link: LICENSE
 tags:
 - object-detection
 - image-classification
-- stairs
-- edge-detection
+- mobile-phone
+- smartphone
+- crack-detection
 - generative-ai
 - visual-question-answering
 - computer-vision
 - sample-dataset
-pretty_name: Stairs Image Dataset — Parts of House Indoor (Sample)
+pretty_name: Mobile Phone Dataset — Smartphone and Feature Phone (Sample)
 size_categories:
 - n<1K
 task_categories:
@@ -19,9 +20,9 @@ task_categories:
 - image-classification
 ---
 
-# Stairs Image Dataset — Parts of House Indoor (Sample)
+# Mobile Phone Dataset — Smartphone and Feature Phone (Sample)
 
-> ⚠️ **This is a free sample subset (100 images) for evaluation purposes only.**  
+> ⚠️ **This is a free sample subset for evaluation purposes only.**  
 > The full dataset (3,000+ HD images) is available for commercial licensing.  
 > **Contact:** [sales@datacluster.ai](mailto:sales@datacluster.ai) · [datacluster.ai](https://datacluster.ai)
 
@@ -29,30 +30,30 @@ task_categories:
 
 ## Dataset Summary
 
-This dataset is an extremely challenging collection of original stair images, crowdsourced from over 500 urban and rural areas. Every image is manually reviewed and verified by computer vision professionals at DataCluster Labs.
+This dataset is an extremely challenging collection of original mobile phone images, crowdsourced from over 1,000 urban and rural areas. Every image is manually reviewed and verified by computer vision professionals at DataCluster Labs.
 
-Optimized for **Generative AI, Visual Question Answering, Image Classification, and LMM development**, this dataset provides a strong basis for robust model performance in stair detection and edge detection tasks.
+Optimized for **Generative AI, Visual Question Answering, Image Classification, and LMM development**, this dataset provides a strong basis for robust model performance in mobile phone detection and related tasks.
 
 ## Dataset Features (Full Dataset)
 
 | Feature | Detail |
 |---|---|
 | **Dataset size** | 3,000+ images |
-| **Captured by** | 500+ crowdsource contributors |
-| **Resolution** | 100% HD and above (1920x1080+) |
-| **Location** | 500+ cities across India |
+| **Captured by** | 1,000+ crowdsource contributors |
+| **Resolution** | 99% HD and above (1920x1080+) |
+| **Location** | 600+ cities across India |
 | **Diversity** | Day, night, varied distances, viewpoints |
-| **Device** | Mobile phones, captured 2020–2022 |
-| **Usage** | Stair detection, stair edge detection, computer vision |
+| **Device** | Mobile phones, captured 2020–2021 |
+| **Applications** | Mobile phone detection, cracked screen detection |
 | **Ownership** | Exclusively owned by DataCluster Labs — not scraped from the internet |
 
 ## Sample vs. Full Dataset
 
 | | Sample (this repo) | Full Dataset |
 |---|---|---|
-| Images | 100 | 3,000+ |
+| Images | Small representative subset | 3,000+ |
 | Annotation formats | Pascal VOC (XML) | COCO, YOLO, Pascal VOC, TF-Record |
-| Resolution | HD and above | HD and above (1920x1080+) |
+| Resolution | HD and above | 99% HD and above (1920x1080+) |
 | Commercial use | ❌ Not permitted | ✅ With license |
 | Redistribution | ❌ Not permitted | Per license terms |
 
@@ -61,7 +62,7 @@ Optimized for **Generative AI, Visual Question Answering, Image Classification,
 ## Dataset Structure
 
 ```
-Stairs_Image_Dataset_Parts_of_House_Indoor/
+Mobile_Phone_Dataset_Smartphone_and_Feature_Phone/
 ├── images/
 │   ├── img001.jpg
 │   └── ...
@@ -76,23 +77,23 @@ Each XML file contains bounding-box annotations in Pascal VOC format, with filen
 ## Data Collection
 
 - **Source:** Crowdsourced original photography — not downloaded from the internet
-- **Contributors:** 500+ crowdsource contributors across India
+- **Contributors:** 1,000+ crowdsource contributors across India
 - **Conditions:** Day, night, varied lighting, distances, and viewpoints
-- **Use cases:** Stair detection, stair edge detection, accessibility applications, robotics navigation, generative AI, VQA, LMM training
+- **Use cases:** Mobile phone detection, cracked screen detection, generative AI, VQA, LMM training
 
 ## How to Use
 
 ### Download
 
 ```bash
-huggingface-cli download Dataclusterlabspvtltd/Stairs_Image_Dataset_Parts_of_House_Indoor --repo-type dataset --local-dir ./Stairs_Image_Dataset_Parts_of_House_Indoor
+huggingface-cli download Dataclusterlabspvtltd/Mobile_Phone_Dataset_Smartphone_and_Feature_Phone --repo-type dataset --local-dir ./Mobile_Phone_Dataset_Smartphone_and_Feature_Phone
 ```
 
 Or clone directly:
 
 ```bash
 git lfs install
-git clone https://huggingface.co/datasets/Dataclusterlabspvtltd/Stairs_Image_Dataset_Parts_of_House_Indoor
+git clone https://huggingface.co/datasets/Dataclusterlabspvtltd/Mobile_Phone_Dataset_Smartphone_and_Feature_Phone
 ```
 
 ### Convert VOC to YOLO or COCO
@@ -126,12 +127,12 @@ The images are exclusively owned by DataCluster Labs. To access the full dataset
 ## Citation
 
 ```bibtex
-@misc{datacluster_stairs_sample,
-  title        = {Stairs Detection Dataset — Sample},
+@misc{datacluster_mobile_phone_sample,
+  title        = {Mobile Phone Dataset — Smartphone and Feature Phone (Sample)},
   author       = {DataCluster Labs},
   year         = {2026},
-  howpublished = {\url{https://huggingface.co/datasets/Dataclusterlabspvtltd/Stairs_Image_Dataset_Parts_of_House_Indoor}},
-  note         = {Sample subset of 100 images. Full dataset (3,000+ images) available for commercial licensing at sales@datacluster.ai}
+  howpublished = {\url{https://huggingface.co/datasets/Dataclusterlabspvtltd/Mobile_Phone_Dataset_Smartphone_and_Feature_Phone}},
+  note         = {Sample subset. Full dataset (3,000+ images) available for commercial licensing at sales@datacluster.ai}
 }
 ```