Omkar2118/datasets huggingface dataset:
SEN12MS-CR-TS
Full name: SEN12MS-CR-TS

**SEN12MS-CR-TS** is a multi-modal and multi-temporal data set for cloud removal. It contains time-series of paired and co-registered Sentinel-1 and cloudy as well as cloud-free Sentinel-2 data from European Space Agency's Copernicus mission. Each time series contains 30 cloudy and clear observations regularly sampled throughout the year 2018. Our multi-temporal data set is readily pre-processed and backward-compatible with [SEN12MS-CR](https://paperswithcode.com/dataset/sen12ms-cr).

Introducing paper: SEN12MS-CR-TS: A Remote Sensing Data Set for Multi-modal Multi-temporal Cloud Removal
Human Palm and Gloves Dataset | Human Body Parts Dataset

The dataset consists of images of Human palms captured using a mobile phone. The images have been taken in a real-world scenario like holding objects or performing simple gestures. The dataset has a wide variety of variations like illumination, distances etc. It consists of images of 3 main gestures: Frontal-open palm, Back open palm and fist with the wrist. It also has a lot of images with people wearing gloves.

**Dataset Features:**  
- Captured by 4000+ unique users  
- Covers wide variety of palm images in indoor and outdoor scenes  
- Images of palm with gloves  
- Captured by male and female  
- Distributed age groups like teenage, adults and old  
- Captured using mobile phones  
- Highly diverse  
- Various lighting conditions like day, night, indoor and outdoor  
- Outdoor scene with a variety of viewpoints  

**Annotations Format:**  
- 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.**
Indian Number Plates Dataset | Vehicle Number Plates | English OCR Detection

This dataset is an extremely challenging set of over 20,000+ original Number plate images captured and crowdsourced from over 700+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at [Datacluster Labs](www.datacluster.ai)  

**Dataset Features**  
- Dataset size : 20,000+  
- Captured by : Over 4000+ crowdsource contributors  
- Resolution : 100% of images HD and above (1920x1080 and above)  
- Location : Captured with 700+ cities and villages across India  
- Diversity : Various lighting conditions like day, night, varied distances, view points etc.  
- Device used : Captured using mobile phones in 2020-2022  
- Usage : Number plate detection, ANPR, Number plate recognition, Self driving system, 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.**
Bottles and Cups Dataset | Household Objects
Full name: datacluster.ai

This dataset consists of images of bottles and cups.

### **Introduction**
Dataset consists of images of bottle and cups captured using mobile phones in a real-world scenario. Images were captured under a wide variety of indoor lighting conditions. This dataset can be used for the detection of a wide variety of bottles and cups made up of a variety of materials from a lot of different of viewpoints, locations, orientations, etc.

### **Dataset Features**
- Captured by 3000+ unique users
- Captured using mobile phones
- Variety of different material of bottles and cups
- HD Resolution
- Highly diverse
- Various lighting conditions
- Indoor scenes

### **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
Transparent Object Images | Indoor Object Dataset
Full name: datacluster.ai

This dataset is an extremely challenging set of over 3000+ original Transparent object images such as glasses and mirrors are captured and crowdsourced from over 500+ 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 500+ crowdsource contributors
- Resolution     : 99% images HD and above (1920x1080 and above)
- Location        : Captured with 600+ cities accross India
- Diversity        : Diversity in object type, lighting, camera type etc.
- Device used  : Captured using mobile phones in 2020-2022
- Usage            : Glass detection | Mirror detection | Transparent Cups 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
Stairs Image Dataset | Parts of House | Indoor
Full name: datacluster.ai

This dataset is an extremely challenging set of over 3000+ originally Stair images captured and crowdsourced from over 500+ 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 500+ crowdsource contributors
- Resolution     : 100% images HD and above (1920x1080 and above)
- Location        : Captured with 500+ cities accross India
- Diversity        : Various lighting conditions like day, night, varied distances, view points etc.
- Device used  : Captured using mobile phones in 2020-2022
- Usage            : Stair detection , Stair Edge detection , Computer Vision , 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
PMData

The PMData dataset aims to combine the traditional lifelogging with sports activity logging.

Introducing paper: PMData: A Sports Logging Dataset