Name
Abstract | ||
|---|---|---|
The article presents Botanicum - a telegram bot for tree classification based on the image of a leaf. In this work, we used our previously developed classification model which underlies the bot. Botanicum can identify 20 different tree species typical for Russian flora. The process of user interaction includes a simple chat and a short instruction on how to take a photo. After image verification, the bot either outputs error description or the classification results. We managed to increase the classification accuracy to 97,8
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup>
by outputting top results instead of one single option. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/FRUCT.2018.8468278 | 2018 22nd Conference of Open Innovations Association (FRUCT) |
Keywords | DocType | ISSN |
tree classification,telegram bot,Botanicum,image verification,classification model,tree species,leaf image | Conference | 2305-7254 |
ISBN | Citations | PageRank |
978-1-5386-5708-9 | 0 | 0.34 |
References | Authors | |
2 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daria Korotaeva | 1 | 0 | 0.34 |
| Maksim Khlopotov | 2 | 0 | 0.68 |
| Anastasiia Makarenkova | 3 | 0 | 0.68 |
| Ekaterina Chikshova | 4 | 2 | 0.71 |
| Natalia Startseva | 5 | 0 | 0.34 |
| Anastasiia Chemysheva | 6 | 0 | 0.34 |