Pointers to large-scale underwater datasets and relevant resources.
🐳 Scripps Whale Acoustics Lab 🌎 Scripps Acoustic Ecology Lab - Triton with remoras in development
World Register of Marine Species R client
Object detection models for identifying species in marine environments.
Yi-Min Chou, Chien-Hung Chen, Keng-Hao Liu, and Chu-Song Chen, "Changing Background to Foreground: An Augmentation Method Based on Conditional Generative Network for Stingray Detection," IEEE International Conference on Image Processing, ICIP 2018, October 2018.
Repository for website development.
Western Australian Sea Turtle and Strandings Database
Python library to access the World Register of Marine Species (WoRMS)
Polish-language marine organisms knowledge base for aquarists.
Utilize deep-learning based techniques to detect the specific marine animals in the given images and videos. The main training models used are Faster-RCNN and YOLOv3
4 labels of marine species are classified with CNN using keras and tensorflow. Data augmentation is done using keras image data generator
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