Datasets

Printed Tamil Characters and Documents

This data set is used for the development of the OCR software for Tamil. In addition this data set is made available for research communities to test their work on developing a better OCR for Tamil. In this regard, two different data sets of printed Tamil characters and printed documents were constructed:

  1. Data set of printed Tamil characters – UJTDchar
  2. Scanned desktop published documents of 20 different font faces – UJTDdocF

Click the above links to download the dataset.

Papers that use this dataset:

Ramanan, M., Ramanan, A. and Charles, E.Y.A.: "A Preprocessing Method for Printed Tamil Documents: Skew Correction and Textual Classification", Seventh IEEE International Conference on Intelligent Computing and Information Systems, pp. 495-500, Cairo, Egypt, 12-14 December 2015.

Front-view Cars

Dataset Information:

  1. Images are of 25 distinct classes of front-view cars with 20 images per class with crucial variations such as scale, rotation, background, and lighting.
  2. Images are saved without any preprocessing and each image consists only one car.
  3. Each of the images is of size 800x600 pixels.
  4. All images within a class is numbered 1 to 20 where odd numbered images are of cars with different backgrounds, whereas even numbered images are with plain background.

Class Information:

Acura, Audi, Buick, Cadillac, Daihatsu, Fiat, Ford, Honda, Hyundai, Infiniti, Kia, Lada, Lexus, Mazda, Mercedes Benz, Nissan, Opel, Renault, Subaru, Suzuki, Tata, Toyota, Vauxhall, Volkswagen and Volvo.

Source: Google Images

Papers that use this dataset:

Sotheeswaran, S. and Ramanan, A.: “A Coarse-to-Fine Strategy for Vehicle Logo Recognition from Frontal-View Car Images“, Pattern Recognition and Image Analysis (PRIA), Vol. 28, No. 1, pp. 142–154, Pleiades, 2018.

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10 category Rice image dataset: 1000 images (10 categories, 100 images per each category)

10 category Rice image dataset: 1000 images (10 categories, 100 images per each category)
These images were used in the paper: Vijayaratnam, E.N., Nawarathna, R.D. and Siyamalan, M., "Comparative Analysis of Different Features and Encoding Methods for Rice Image Classification", In IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 21-22 December, 2018. [Accepted]

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