Omkar2118/datasets huggingface dataset:
Indian Signboard Image Dataset | Text in Image
Full name: datacluster.ai

### **Introduction**
The dataset consists of Indian traffic signs images for classification and detection. The images have been taken in varied weather conditions in daylight, evening and nights. The dataset has a wide variety of variations of illumination, distances, view points etc. This dataset represents a very challenging set of unstructured images of Indian traffic signboards.

### **Dataset Features**
- Captured by 2000+ unique users
- Covers wide variety of Indian traffic signs
- Captured with 20+ cities accross India
- Captured using mobile phones
- Highly diverse
- Various lighting conditions like day, night,
- Outdoor scene with variety of view points

### **Dataset Features**
- Classification and detection annotations available
- Multiple category annotations possible
- COCO, PASCAL VOC and YOLO formats

**To download full datasets or to submit a request for your dataset needs, please ping us at [sales@datacluster.ai](sales@datacluster.ai) Visit [www.datacluster.ai](www.datacluster.ai) to know more.**  

**Note**:  
All the images are manually captured and verified by a large contributor base on DataCluster platform
Human Wrist Image Dataset | Human Body Parts

This dataset consists of images of wrist (with different kind of bands on it).

### **Introduction**
Dataset consists of images of wrist captured using mobile phones in real-world scenario. Images were captured under wide variety of lighting conditions, weather, indoor and outdoor. This dataset can be used for Augmented Reality, Mixed Reality, Rakhi Detection, Wrist-watch Detection, Hand-band Detection, etc.

### **Dataset Features**
- Captured by 3000+ unique users
- Rich in diversity
- Mobile phone view point
- Various items on the wrist
- Consists male and female wrists
- HD Resolution
- Various lighting conditions
- Indoor and Outdoor scene

### **Dataset Features**
- Classification and detection annotations available
- Multiple category annotations possible
- COCO, PASCAL VOC and YOLO formats

**To download full datasets or to submit a request for your dataset needs, please ping us at [sales@datacluster.ai](sales@datacluster.ai) Visit [www.datacluster.ai](www.datacluster.ai) to know more.**  

**Note**:  
All the images are manually captured and verified by a large contributor base on DataCluster platform
Cracked Mobile Screen Dataset

This dataset consists of images of Cracked screen like cracked mobile screen.

### **Introduction**
The dataset consists of images of cracked screens. This dataset covers different types of damages to the screen of mobile phones. The images were captured under a variety of illumination, distances, viewpoints, etc. This dataset represents a very challenging set of cracked screen detection and recognition. This dataset can be used for insurance purpose, AR and to study variety of cracks happen on mobile phones.

### **Dataset Features
**
- Approx. 7000+ unique images
- Captured by 5000+ unique users
- Captured using mobile phones
- Various lighting conditions like daylight, night
- Outdoor scene with a variety of lillumination and viewpoints
- Dataset Format

- Classification and detection annotations available
- Multiple category annotations possible
- COCO, PASCAL VOC and YOLO formats

To get more images, Visit: https://github.com/datacluster-labs/Datacluster-Datasets/tree/gh-pages/Cracked%20Screen%20Image%20Dataset

**To download full datasets or to submit a request for your dataset needs, please ping us at [sales@datacluster.ai](sales@datacluster.ai) Visit [www.datacluster.ai](www.datacluster.ai) to know more.**  

**Note**:  
All the images are manually captured and verified by a large contributor base on DataCluster platform
Visiting Card | ID Card Images | Hindi-English
Full name: datacluster.ai

This dataset is an extremely challenging set of over 2000+ original Visiting card/ID card images captured and crowdsourced from over 300+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at Datacluster Labs.

### **Dataset Features**

- Dataset size   : 2000+
- Captured by  : Over 150+ crowdsource contributors
- Resolution     : 100% images HD and above (1920x1080 and above)
- Location        : Captured with 300+ cities accross India
- Diversity        : Covers a wide variety of things such as reflective paper, different fonts, different color and type of cards, etc.
- Device used  : Captured using mobile phones in 2020-2021
- Usage            : Visiting card detection, card edge detection, paper edge detection, ID card OCR, Hindi OCR, etc.
### Available Annotation formats

COCO, YOLO, PASCAL-VOC, Tf-Record

**To download full datasets or to submit a request for your dataset needs, please ping us at [sales@datacluster.ai](sales@datacluster.ai) Visit [www.datacluster.ai](www.datacluster.ai) to know more.**  

**Note**:  
All the images are manually captured and verified by a large contributor base on DataCluster platform
Crowd in a rally | Crowd Counting | Crowd Human
Full name: datacluster.ai

This dataset is an extremely challenging set of over 3000+ original Crowd images captured and crowdsourced from over 300+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at Datacluster Labs.

### **Dataset Features**

- Dataset size   : 3000+
- Captured by  : Over 400+ crowdsource contributors
- Resolution     : 100% images HD and above (1920x1080 and above)
- Location        : Captured with 300+ cities accross India
- Diversity        : Various lighting conditions like day, night, varied distances, view points etc.
- Device used  : Captured using mobile phones in 2021-2022
- Usage            : Human detection, CCTV monitoring of crowd, Crowd tracking, etc.

### Available Annotation formats

COCO, YOLO, PASCAL-VOC, Tf-Record

**To download full datasets or to submit a request for your dataset needs, please ping us at [sales@datacluster.ai](sales@datacluster.ai) Visit [www.datacluster.ai](www.datacluster.ai) to know more.**  

**Note**:  
All the images are manually captured and verified by a large contributor base on DataCluster platform
WALT
Full name: Watch and Learn TimeLapse Images

We introduce a new dataset, Watch and Learn Time-lapse (WALT), consisting of multiple (4K and 1080p) cameras capturing urban environments over a year.

Introducing paper: WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery
MSRVTT-MC

The MSRVTT-MC (Multiple Choice) dataset is a video question-answering dataset created based on the MSR-VTT dataset. It consists of 2,990 questions generated from 10,000 video clips with associated ground truth captions. For each question, there are five candidate captions, including the ground truth caption and four randomly sampled negative choices. The objective of the dataset is to choose the correct answer from the five candidate captions.

Introducing paper: A Joint Sequence Fusion Model for Video Question Answering and Retrieval
Autorickshaw Image Dataset | Niche Vehicle Dataset
Full name: datacluster.ai

This dataset is an extremely challenging set of over 8000+ original Fire and Smoke images captured and crowdsourced from over 1200+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at Datacluster Labs.

### **Dataset Features**

- Dataset size   : 8000+
- Captured by  : Over 1200+ crowdsource contributors
- Resolution     : 99% images HD and above (1920x1080 and above)
- Location        : Captured with 800+ cities accross India
- Diversity        : Various lighting conditions like day, night, varied distances, view points etc.
- Device used  : Captured using mobile phones in 2021-2022
- Usage            : Vehicle detection, Autorickshaw detection, Self driving, Indian vehicles, Number Plate detection, etc.
### Available Annotation formats

COCO, YOLO, PASCAL-VOC, Tf-Record

**To download full datasets or to submit a request for your dataset needs, please ping us at [sales@datacluster.ai](sales@datacluster.ai) Visit [www.datacluster.ai](www.datacluster.ai) to know more.**  

**Note**:  
All the images are manually captured and verified by a large contributor base on DataCluster platform
Electronics Object Image Dataset | Computer Parts
Full name: datacluster.ai

This dataset is an extremely challenging set of over 5000+ original Electronic Items images captured and crowdsourced from over 1000+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at Datacluster Labs.

### **Dataset Features**

- Dataset size   : 5000+
- Captured by  : Over 1000+ crowdsource contributors
- Resolution     : 99% images HD and above (1920x1080 and above)
- Location        : Captured with 800+ cities accross India
- Diversity        : Various lighting conditions like day, night, varied distances, view points etc.
- Device used  : Captured using mobile phones in 2020-2021
- Applications  : Electronics Detection, Daily item detection, Home Automation, etc.

### Available Annotation formats

COCO, YOLO, PASCAL-VOC, Tf-Record

**To download full datasets or to submit a request for your dataset needs, please ping us at [sales@datacluster.ai](sales@datacluster.ai) Visit [www.datacluster.ai](www.datacluster.ai) to know more.**  

**Note**:  
All the images are manually captured and verified by a large contributor base on DataCluster platform
Hindi Text Image Dataset | Hindi in the wild
Full name: datacluster.ai

This dataset is an extremely challenging set of over 5000+ original Hindi text images captured and crowdsourced from over 700+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at DataclusterLabs.

### **Dataset Features**

- Dataset size   : 5000+
- Captured by  : Over 700+ crowdsource contributors
- Resolution     : 99% images HD and above (1920x1080 and above)
- Location        : Captured with 400+ cities accross India
- Diversity        : Various lighting conditions like day, night, varied distances, view points etc.
- Device used  : Captured using mobile phones in 2021-2022
- Usage            : Hindi text detection, Hindi NLP, Text recognition, etc.
### Available Annotation formats

COCO, YOLO, PASCAL-VOC, Tf-Record

**To download full datasets or to submit a request for your dataset needs, please ping us at [sales@datacluster.ai](sales@datacluster.ai) Visit [www.datacluster.ai](www.datacluster.ai) to know more.**  

**Note**:  
All the images are manually captured and verified by a large contributor base on DataCluster platform
Nasa Exoplanet Archive

The NASA Exoplanet Archive is an online astronomical exoplanet and stellar catalog and data service that collates and cross-correlates astronomical data and information on exoplanets and their host stars, and provides tools to work with these data. The archive is dedicated to collecting and serving important public data sets involved in the search for and characterization of extrasolar planets and their host stars. These data include stellar parameters (such as positions, magnitudes, and temperatures), exoplanet parameters (such as masses and orbital parameters) and discovery/characterization data (such as published radial velocity curves, photometric light curves, images, and spectra).

Introducing paper: Prediction of Stellar Age with the Help of Extra-Trees Regressor in Machine Learning