The challenge is to detect, classify, and segment the plastics in the given dataset and propose a viable and architecturally sound AI solution to curtail the plastic menace choking our rivers. The solutions must have actionable insights where the stakeholders, like the government and local support groups, can take preventive and proactive measures.
Requirements
Detection and Counting of Plastic
Context: The extracted images in the datasets (Train, test and predict) contain drone images taken from river Saigon. Images contain plastic debris, patches of weeds (water hyacinths) and other floating debris.
- Label the images for plastic. Accurate labelling is part of the Hackathon challenge.
- AI-based object detection of plastic and and counting of plastic in the given images.
- Geotag the plastic and provide the URL link.
Prizes
2nd Prize
1st Prize
3rd Prize
Branded Swags
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Dr. Shinu Abhi
REVA University
Dr. J B Simha
REVA University
Dr. Vishnuteja Nanduri
Kyndryl
Dr. Sheela Siddappa
Kyndryl
Usha Rengaraju
Exa Protocol
Judging Criteria
-
Technical Criteria:
Evaluation metric: Mean Average Precision (mAP) confidence interval for the validation data set or any other equivalent metrics. Code quality – Codes must be well-commented and clear. -
Non-technical Criteria:
Replicable –The solutions must be easily replicable by the evaluation team. Clarity – The architecture and the solution presented must be clear and comprehensive.
Questions? Email the hackathon manager
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