iNaturalist, one of the most well-liked nature apps worldwide, assists you in recognizing the nearby plants and animals. Join a community of more than a million scientists and naturalists who can connect you with resources to further your understanding of the natural world. By documenting and sharing your findings, you'll provide research-quality data that will benefit scientists trying to comprehend and preserve wildlife. The California Academy of Sciences and the National Geographic Society collaborated to create iNaturalist.
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| How the iNaturalist works |
A little History
In 2008, Ken-ichi Ueda, Nate Agrin, and Jessica Kline created iNaturalist.org as their master's thesis at the School of Information at the University of California, Berkeley. After graduating, Nate and Ken-ichi continued to work on the website with some additional assistance from Sean McGregor. In 2011, Ken-ichi and Scott Loarie established themselves as iNaturalist, LLC, and started developing the website through several partnerships. iNaturalist was launched by the California Academy of Sciences in 2014, and in 2017 it collaborated with the National Geographic Society. Through the iNaturalist Network, numerous organizations throughout the world support iNaturalist.
Check on my account to see the observation from 2018. Link to my account tejkumarnepal
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My total observation |
Observations
The crowdsourcing of observations and identifications is the foundation of the iNaturalist platform. An observation on iNaturalist documents a person's interaction with a specific creature at a certain location and time. Animal tracks, nests, or other signs of an organism, such as scat, may also be noted in an iNaturalist observation. Users frequently share photographs as proof of their discoveries, while audio recordings are also acceptable and are not strictly required. Users can make private observation locations, "obscure" them to show a less accurate position, or share them publicly.
On iNaturalist, users can confirm or enhance other's identifications by adding identifications to the observation. Based on the quality of the data provided and the community identification process, observations are categorized as "Casual," "Needs ID" (needs identification), or "Research Grade." iNaturalist allows users to download data of any quality, and "Research Grade" observations are frequently added to other online databases like the Global Biodiversity Information Facility.
Automated Species ID
iNaturalist features an automated species identification tool in addition to observations identified by other community members. A computer vision model trained using the extensive library of observations on iNaturalist can recognize images. It may be challenging for the model to identify the species, and it may make a mistake if the image is of a little-observed species or one that is difficult to recognize from photographs alone, or if it has poor lighting, is grainy, or has several subjects. The proposal the software thinks is most likely is usually at the top of a list of many species suggestions. In cases where the model cannot identify the species, a broader taxon, such as a genus or a family, is frequently offered.



Great description
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