We propose a novel high-resolution dataset named, “Dataset for Indian Road Scenarios (DIRS21)” for developing perception systems for advanced driver assistance systems.

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To study the driver's behavior in real traffic situations, we conducted experiments using an instrumented vehicle, which comprises:

(i) a camera, installed above the vehicle's side window and oriented toward the driver, and (ii) a Mobile Digital Video Recorder (MDVR).

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446 Views

The accompanying dataset for the CVSports 2021 paper: DeepDarts: Modeling Keypoints as Objects for Automatic Scoring in Darts using a Single Camera

Paper Abstract:

Instructions: 

The recommended way to load the labels is to use the pandas Python package:

import pandas as pd

labels = pd.read_pickle("labels.pkl")

See github repository for more information: https://github.com/wmcnally/deep-darts

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The dataset consists of two classes: COVID-19 cases and Healthy cases 

Instructions: 

Unzip the dataset

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824 Views

An offline handwritten signature dataset from two most popular scripts in India namely Roman and Devanagari is proposed here. 

Instructions: 

Writer identification dataset availability on Indic scripts is a major issue to carry forward research in this domain. Devanagari and Roman are two most popular and widely used scripts of India. We have a total of 5433 signatures of 126 writers, out of which 3929 signatures from 80 writers in Roman script and 1504 signatures from 46 writers in Devanagari scripts. Script-wise per writer 49 signatures from Roman and 32 signatures from Devanagari are considered making an average of 43 signatures per writer on whole dataset. We have reported a benchmark results on this dataset for writer identification task using a lightweight CNN architecture. Our proposed method is compared with state-of-the-art handcrafted feature based method such as gray level co-occurrence matrix (GLCM), Zernike moments, histogram of oriented gradients (HOG), local binary pattern (LBP), weber local descriptor (WLD), gabor wavelet transform (GWT) and it outperforms. In addition, few well known CNN arechitechture is also compared with the proposed method and it shows comparable performance. 

User guidance: The images are available in .jpg format with 24 bit color. The dataset is freely available for research work. Cite the following paper while using the dataset

Sk Md Obaidullah, Mridul Ghosh, Himadri Mukherjee, Kaushik Roy and Umapada Pal “Automatic Signature-based Writer Identification in Mixed-script Scenarios”, in 16th International Conference on Document Analysis and Recognition (ICDAR 2021), Lussane, Switzerland, 2021

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236 Views

 Lung segmentation is essential in developing AI-assisted diagnosis methods. Here is the result of lung segmentation using morphological operation, and it has been used in our study. It contains 7053 CT slices in .jpg format. And the original dataset can be seen via  the Kaggle link https://www.kaggle.com/hgunraj/covidxct

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346 Views

Indian Regions Soil Image Database (IRSID) : A dataset for classification of Indian soil types

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1821 Views

We have developed this dataset for the Bangla image caption. Here, we have recorded  500 images with one caption of each. Basically the lifestyle, festivals are mainly focused in this dataset. We have accomplished rice/harvest festivals, snake charming, palanquin, merry-go-round, slum, blacksmith, potter, fisherman, tat shilpo, jamdani, shutki chash, date juice, hal chash, tokai, pohela falgun, gaye holud, etc.

   

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972 Views

Datasets as described in the research paper "Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT Applications".There are two main dataset provided here, firstly is the data relating to the initial training of the machine learning module for both normal and malicious traffic, these are in binary visulisation format, compresed into the document traffic-dataset.zip.

Instructions: 

Each dataset is provided in compressed ZIP files, no password protection is present and no malicious files are contained herein, only their network traffic and image representations relevant to the project.

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1142 Views

The LEDNet dataset consists of image data of a field area that are captured from a mobile phone camera.

Images in the dataset contain the information of an area where a PCB board is placed, containing 6 LEDs. Each state of the LEDs on the PCB board represents a binary number, with the ON state corresponding to binary 1 and the OFF state corresponding to binary 0. All the LEDs placed in sequence represent a binary sequence or encoding of an analog value.

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179 Views

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