BD-freshwater-fish: An image dataset from Bangladesh for AI-powered automatic fish species classification and detection toward smart aquaculture

There are about 33,000 different species of fish and they are visually identified using variety of traits, i.e., size and shape of body, head's size and shape, skin pattern, fin pattern, mouth pattern, scale pattern, and eye pattern etc. In traditional manner, identifying these fish species is always difficult with necked eye. Identification and detection of fish species from images using deep learning and computer vision based techniques is challenging topic among researchers worldwide as an interesting problem. Automatic fish species classification and detection has practical importance for both smart aquaculture and fish industry. AI powered deep learning and computer vision based automatic fish species recognition and sorting system becoming significant factor for making aquaculture industry more productive and sustainable.…