DeepSeaROV

The deep sea is one of Earth's least explored frontiers, housing an extraordinary diversity of biota. However, studying these ecosystems is challenging due to their inaccessibility and the vast amounts of data generated during exploration missions. Automated image classification of deep-sea biota can significantly aid researchers in cataloging and analyzing these unique organisms. This project presents a meticulously curated dataset comprising images captured by a remotely operated vehicle (ROV) during deep-sea expeditions. The images feature 62 distinct classes of biota.Showcase your amazing deep learning abilities and help unlock the secrets of deep-sea biodiversity! 🌊✨

Instructions

• For any concept/technique refer articles available on internet rather than using ChatGPT, as it may be misleading and many times provide only half information.
• Write commnets for what you did so that mentors can easy understand your work.

Procedure

1. Download the dataset from the link provided above.
2. Fork this repository and clone it to your local machine. (You may need to re-clone after each task.)
3. Naming Conventions:
   • IIIT Allahabad Students: Name files as IIT2023098, where:
     • IIT = Your branch
     • 2023098 = Your unique ID
   • Other College Participants: Name files as COLLEGE_ROLLNO (e.g., IITBHU_123456).
4. File Placement:
   • Push your .ipynb solution files to the correct folder:
     • Example: Place the solution for Task1 in solution_Task1.
5. Submit a Pull Request:
   • Your PR will be reviewed by mentors.
   • Only relevant PRs will be merged and awarded points.

Help

For any query feel free to contact iit2023503@iiita.ac.in. You can also interact with mentors and community on Discord