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Recognition results will be saved in one UTF-8 encoded text file per test image. Authors will be asked to submit a single ZIP file of the folder containing all the text files (folder should be named detections). Result files are named after the name of the test images (e.g. Printed_600_hindi_180.txt). The resultant text files will contain the recognition of the cropped image without any leading whitespace.

ലോഹിതദാസിന്റെതായിരുന്നു

For more details regarding the online submissions, please refer to the main task page.

Online Submission is a feature introduced by the Indian language benchmark system for aiding in reducing the over-fitting of a particular submission to a specific dataset. This feat is accomplished by requesting the author for producing the result of the method individually, i.e. instead of uploading all the results from a test dataset in task user is asked to run a script that downloads an individual test image from dataset, calculates the result for that image according the logic provided by the user and then uploads the result to the benchmark evaluation system.

This process can be easily accomplished using GET/POST requests framework built in the system.
Below is provided a sample (python) code that uses this online framework to upload one online submission.

For each registered user, there is a unique api_key generated by the system that the user has to use in the url of GET/POST requests

Please Login/Register to get the api_key nessacary for online submissions

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Please Login/Register to upload new submissions.