tag:joss.theoj.org,2005:/papers/tagged/camera%20trapJournal of Open Source Software2023-08-04T17:17:18ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/44802023-08-04T17:17:18Z2023-08-05T00:01:30ZEcoAssist: A no-code platform to train and deploy custom YOLOv5 object detection modelsacceptedv4.02023-05-11 09:57:40 UTC882023-08-04 17:17:18 UTC820235581Petervan LunterenIndependent Researcher, The Netherlands0000-0001-5488-422510.21105/joss.05581https://doi.org/10.5281/zenodo.7223363Pythonhttps://joss.theoj.org/papers/10.21105/joss.05581.pdfartificial intelligence, machine learning, deep learning, object detection, yolov5, annotation tool, cameratrapstag:joss.theoj.org,2005:Paper/1422017-02-28T00:00:00Z2021-02-15T11:34:17ZremBoot: An R package for Random Encounter Modellingaccepted0.0.0.90002017-01-10 20:31:41 UTC102017-02-28 00:00:00 UTC22017176AnthonyCaravaggiSchool of Biological Sciences, Queen's University Belfast, Belfast BT9 7BL, UK0000-0002-1763-897010.21105/joss.00176https://doi.org/10.6084/m9.figshare.4684894Rhttps://joss.theoj.org/papers/10.21105/joss.00176.pdfRandom Encounter Model, REM, density estimates, camera trap, ecology, bootstrapping