What Wildbook are you working in? Flukebook
What is the entire URL out of the browser, exactly where the error occurred?
_https://www.flukebook.org/encounters/searchResults.jsp?male=male&female=female&unknown=unknown&alive=alive&dead=dead&numSearchedObs=1&lifeStageField=None&patterningCodeField=None&measurementWaterTemperature%28operator%29=gteq&measurementSalinity%28operator%29=gteq&label0=None&numResights=1&satelliteTagName=None&biomeasurement13C%28operator%29=gteq&biomeasurement15N%28operator%29=gteq&biomeasurement34S%28operator%29=gteq&alleleRelaxValue=0&organizationId=None&projectId=None&username=cetamada&submitSearch=Search+Encounters
Can you describe what the issue is you’re experiencing?
After importing dataset (Cetamada’s dataset) containing only fluke MediaAssets, it seems that multifeature detection was applied automatically. Indeed, there is a double annotation for almost all Fluke images : one “Fluke” annotation (for which the annotation box is usually very large) and one “dorsal fin" annotation at the tip of the Fluke (so an erroneous annotation). Furthermore, Flukebook seems to create a new encounter for the “dorsal fin” annotation, probably because it considers it as a different individual (c.f. Researcher Overview | Wild Me Docs).
Redrawing the Fluke annotation and removing the dorsal fin annotation could be carried out manually, but it would be a long process. In fact, Cetamada’s dataset contains more than 1500 encounters. So we were wondering the following:
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Do we have to redraw every Fluke annotations or does the identification process work with a large annotation box around the Fluke ? Will it have an impact on the efficiency of the matching algorithm if we leave the large box ?
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From the back office, would you be able to remove all dorsal fin annotations from Cetamada’s data ?
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Would you be able to re-run the automatic Fluke annotation on Cetamada’s data, to get a smaller annotation box?
Further, we are trying to figure out why the “number of candidates” on the matching result page varies between matchs within a project. Does the annotation “viewpoint” have an impact on the number of images an encounter is matched against? If it is the case, is there a way to check the “viewpoint” of the annotations, and change it if needed ? For humpback whale flukes, viewpoint is expected to be from the “back” for all annotations so the number of candidate images should not change. We would like to make sure that within our project, which only include Fluke encounters, images are matched against all other images from that project.
Thank you for your answers and your help,
Violaine and Paul