Video and Image Analytics for Multiple Environments
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Updated
Jun 24, 2024 - Python
Video and Image Analytics for Multiple Environments
Marine biology image database by CEBIMar/USP
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.
Scale-free Vertical Tracking Microscopy (a.k.a Gravity Machine) repo.
A global bioacoustics map featuring birds and marina megafauna
Object detection models for identifying species in marine environments.
Detection of algal bodies in coral-reef dataset
Identifying Whales by images and video of their blowhole
Python library to access the World Register of Marine Species (WoRMS)
Pipeline for downloading and classifying Fishbase images by family.
YOLO with Transformers and Instance Segmentation on Seal Classification
This is a project in which we scrapped marine animals data from a website and then vizualized using neo4j database and created relationships to understand it better.
Data engineering project for processing whale data from the OBIS api (https://api.obis.org/v3)
Repos contains code and data that underpins a novel dolphin machine learning model.
ORCA: Oceanic Recognition & Classification Application for sea-life analysis systems.
A Hack-for-the-Sea 2016 project to help collect data for budget-constrained marine biologists.
Part of the feasibility study for marine species traits identification with text mining
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