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Urdu text in natural scene images
This dataset contains synthetic lungs X Ray and CT images.
All the images in this dataset are generated using Neural Diffusion Model.
Available at: https://www.kaggle.com/datasets/hazrat/awesomelungs
Relevant paper: Hazrat Ali, S. Murad, Zubair Shah, Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models, 30th Irish Conference on Artificial Intelligence and Cognitive Science, December 2022, Ireland.
This dataset contains synthetic lungs X Ray and CT images.
All the images in this dataset are generated using Neural Diffusion Model.
Available at: https://www.kaggle.com/datasets/hazrat/awesomelungs
Relevant paper: Hazrat Ali, S. Murad, Zubair Shah, Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models, 30th Irish Conference on Artificial Intelligence and Cognitive Science, December 2022, Ireland.
Urdu text in natural scene images (dataset)
This dataset contain natural scene images with Urdu text. The dataset can be used to train models for extraction of text in natural scene images.
Available at: https://www.kaggle.com/datasets/hazrat/urdu-text-in-scene-images
Relevant paper(s):
Hazrat Ali*, Iqbal K, Mujtaba G, Fayyaz A, Bulbul MF, Karam FW, Zahir A. 2021. Urdu text in natural scene images: a new dataset and preliminary text detection. PeerJ Computer Science 7:e717. 16 September 2021
Hazrat Ali, “Leveraging machine learning for less developed languages: Progress on Urdu text detection,” 2021 NeurIPS Workshop on Machine Learning for the Developing World, 14 December 2021.
This dataset contain natural scene images with Urdu text. The dataset can be used to train models for extraction of text in natural scene images.
Available at: https://www.kaggle.com/datasets/hazrat/urdu-text-in-scene-images
Relevant paper(s):
Hazrat Ali*, Iqbal K, Mujtaba G, Fayyaz A, Bulbul MF, Karam FW, Zahir A. 2021. Urdu text in natural scene images: a new dataset and preliminary text detection. PeerJ Computer Science 7:e717. 16 September 2021
Hazrat Ali, “Leveraging machine learning for less developed languages: Progress on Urdu text detection,” 2021 NeurIPS Workshop on Machine Learning for the Developing World, 14 December 2021.
UHaT: Urdu Handwritten Text Dataset
This dataset contains handwritten characters and digits of Urdu language.
Available at: https://www.kaggle.com/hazrat/uhat-urdu-handwritten-text-dataset
Relevant paper: Hazrat Ali*, Ahsan Ullah, Talha Iqbal, Shahid Khattak, “Pioneer dataset and automatic recognition of Urdu handwritten characters using a deep autoencoder and convolutional neural network”, SN Applied Sciences, vol. 2, February 2020
This dataset contains handwritten characters and digits of Urdu language.
Available at: https://www.kaggle.com/hazrat/uhat-urdu-handwritten-text-dataset
Relevant paper: Hazrat Ali*, Ahsan Ullah, Talha Iqbal, Shahid Khattak, “Pioneer dataset and automatic recognition of Urdu handwritten characters using a deep autoencoder and convolutional neural network”, SN Applied Sciences, vol. 2, February 2020
Urdu Speech Corpus
This dataset contains speech recordings of isolated words of Urdu.
Available at: https://www.kaggle.com/hazrat/urdu-speech-dataset
The files are contained in the folder Urdu-Corpus and will be downloaded with the name files.zip
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Relevant paper(s):
Hazrat Ali, Son N. Tran, E. Benetos, A. Garcez, “Speaker Recognition with Hybrid Features from a Deep Belief Network”, Springer Neural Computing and Applications, vol 29, no. 6, pp. 13 - 19.
Hazrat Ali, Nasir Ahmad, Abdul Hafeez, “Urdu Speech Corpus and Preliminary Results on Speech Recognition”, 17th Engineering Applications of Neural Network Conference (EANN2016), 2 – 5 September, Aberdeen, UK, pp. 317 - 325
This dataset contains speech recordings of isolated words of Urdu.
Available at: https://www.kaggle.com/hazrat/urdu-speech-dataset
The files are contained in the folder Urdu-Corpus and will be downloaded with the name files.zip
Download Link2
Download Link3
Relevant paper(s):
Hazrat Ali, Son N. Tran, E. Benetos, A. Garcez, “Speaker Recognition with Hybrid Features from a Deep Belief Network”, Springer Neural Computing and Applications, vol 29, no. 6, pp. 13 - 19.
Hazrat Ali, Nasir Ahmad, Abdul Hafeez, “Urdu Speech Corpus and Preliminary Results on Speech Recognition”, 17th Engineering Applications of Neural Network Conference (EANN2016), 2 – 5 September, Aberdeen, UK, pp. 317 - 325