FISH IDENTIFICATION AND DETECTION USING ML

FISH IDENTIFICATION AND DETECTION USING ML

1stDr.Sandip S. Patil 2nd Afnan A. Shaikh 3rd Alvira Aaisha W. Shaikh 4th Umer A. Shaikh 5th Sameer Ali M. Sayyed
Department of Computer Engineering , Shram Sadhana Bombay Trust’s CollegeOf Engineering And Technology Jalgaon

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Abstract -There is an increasing need for automated fish classification to help properly identify fish species and characteristics in a standardized, non- invasive, and cost effective manner. Machine learning is a promising method to do this. In this paper, we present the results of a convolutional neural network (CNN) used to identify fish species across datasets. Convolutional Neural Networks (CNNs) have been widely used in recent years for image recognition and classification tasks. In this context, CNNs have shown great potential in fish identification by analyzing the unique features of fish images. In this approach, a deep learning model is trained using a large dataset of fish images with known labels.

Key Words:

Fish species identification, Deep learning, Fish Detection, Convolutional neural networks, Classification algorithms.