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
Submission of Results
Submission of Trained Model
Submission of Inference Code

Select Team Name

 

Upload Result

 

Upload Inference Code

 

Upload Trained Model

 

Upload Brief Description of Algorithm

 

Use any Pretrained Model

 

Use any Additional Training Dataset

 

Use any Synthetic Data for Training

 

Use any Pre-processing Step to Clean the Training Dataset

 

Use any Post OCR Error Correction Technique to Improve OCR Accuracy

 
Submission for Task-B: Cropped Word Language Identification

Submission of Brief Description of Algorithm
Submission of Results
Submission of Trained Model
Submission of Inference Code

Select Team Name

 

Upload Result

 

Upload Inference Code

 

Upload Trained Model

 

Upload Brief Description of Algorithm

 

Use any Pretrained Model

 

Use any Additional Training Dataset

 

Use any Synthetic Data for Training

 

Use any Pre-processing Step to Clean the Training Dataset

 

Use any Post OCR Error Correction Technique to Improve OCR Accuracy

 
Submission for Task-C: Joint Text Word Detection and Language Identification

Submission of Brief Description of Algorithm
Submission of Results
Submission of Trained Model
Submission of Inference Code

Select Team Name

 

Upload Result

 

Upload Inference Code

 

Upload Trained Model

 

Upload Brief Description of Algorithm

 

Use any Pretrained Model

 

Use any Additional Training Dataset

 

Use any Synthetic Data for Training

 

Use any Pre-processing Step to Clean the Training Dataset

 

Use any Post OCR Error Correction Technique to Improve OCR Accuracy

 
Submission for Task-D: End-to-End Text Detection and Recognition

Submission of Brief Description of Algorithm
Submission of Results
Submission of Trained Model
Submission of Inference Code

Select Team Name

 

Upload Result

 

Upload Inference Code

 

Upload Trained Model

 

Upload Brief Description of Algorithm

 

Use any Pretrained Model

 

Use any Additional Training Dataset

 

Use any Synthetic Data for Training

 

Use any Pre-processing Step to Clean the Training Dataset

 

Use any Post OCR Error Correction Technique to Improve OCR Accuracy