Result
Instructions
The organizers request each team to upload their final or updated trained model, inference code, a ReadMe file, and a detailed description of the algorithm to the competition website by 25th April 2025.
Please note: If there is any discrepancy between the submitted results, the provided trained model, and the output generated using the submitted inference code, the team will be disqualified from the competition. In such cases, the team's results will not be displayed on the leaderboard.
Each team is allowed to upload results up to five times per task. The leaderboard will display the best-performing result among all submissions for a task from a team.
Each team member is required to upload the results corresponding to a task.
Submission for Task-A: Multi-lingual Text Word Detection
Submission of Brief Description of Algorithm
- Please provide a description (maximum one page) of your proposed method for Task-A. Save the file as one of the following formats: description.doc, description.pdf, description.txt, or description.latex.
Submission of Results
- The output for Task-A should be saved in a file named after the corresponding image, with a .txt extension (e.g., 07102023_L_GH021756_image_000187.txt). Each line in this file must represent a word's predicted polygon, formatted as a sequence of x and y coordinates separated by tabs. You can download a sample file for Task-A here: sample file . Organize all predicted result files corresponding to the test images into a folder named Task-A. Compress this folder into a ZIP file and upload it as your submission.
Submission of Trained Model
- Create a zip file of the trained model and upload
Submission of Inference Code
- Inference code, requirement.txt with software packages required to run the code, and ReadMe file with instructions for running the code. Make a zip file and upload it.