Fish Detection in Underwater Using Deep Learning
Underwater Object Detection or Fish Identification using Machine Learning, in this project user have to upload any input image or video to machine learning model and model will identify from input given to model. Model is trained on large dataset of images on different fish species and under water object like metal. This deep learning model will detect the object and identify the fish species.
Underwater Object Detection and Classification Using Deep Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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