We propose FishNet, an automated computer vision system for both taxonomic classification and fish size estimation from images captured with a low-cost digital camera.

Our FishNet dataset has the potential to encourage the development of more accurate and effective tools for the monitoring and protection of aquatic ecosystems, and hence take effective action toward …

Driven by the success of using high-resolution features for region-level and pixel-level tasks, this paper proposes a fish-like network, namely FishNet, which enables the features of high resolution to …

This study developed an image processing system using the AlexNet architecture and Flutter framework to capture and identify five fish species (Kuwaw, Tamban, Sapsap, Turingan, Buraw) in Fisheries …

—Our main motive of this paper is to classify fish for people. Because many of us don’t know the class of fish, name of fish. For that reason, we don’t know the percentage of vitamins and...

The Fishnet Open Images Database: A Dataset for Fish Detection and Fine-Grained Categorization in Fisheries Motivation: Fisheries Electronic Monitoring (EM) Video cameras onboard commercial …

Use Case 1: Identify if the video has fish in it. Use Case 2: Correctly distinguish fish, eels and other moving objects. Use Case 3: Correctly identify 9 fish species and count their direction of fishway …