#leafsnap — Public Fediverse posts

AI scientist Ling Haibin, father of world’s first plant ID app, leaves US for China

AI scientist Ling Haibin, the acclaimed computer scientist behind the…
#NewsBeep #News #Artificialintelligence #AI #AmazonMachineLearningResearchAward #ArtificialIntelligence #China #computerscience #computervision #DonaldTrump #Hangzhou #IEEE #LeafSnap #LingHaibin #MicrosoftResearchAsia #PekingUniversity #stonybrookuniversity #Technology #UK #UnitedKingdom #WestlakeUniversity
https://www.newsbeep.com/uk/350969/

AI scientist Ling Haibin, father of world’s first plant ID app, leaves US for China

AI scientist Ling Haibin, the acclaimed computer scientist behind the world’…
#NewsBeep #News #Artificialintelligence #AI #AmazonMachineLearningResearchAward #ArtificialIntelligence #CA #Canada #China #COMPUTERSCIENCE #ComputerVision #DonaldTrump #Hangzhou #IEEE #LeafSnap #LingHaibin #MicrosoftResearchAsia #PekingUniversity #StonyBrookUniversity #Technology #WestlakeUniversity
https://www.newsbeep.com/ca/386269/

https://www.europesays.com/ie/265469/ AI scientist Ling Haibin, father of world’s first plant ID app, leaves US for China #AI #AmazonMachineLearningResearchAward #ArtificialIntelligence #ArtificialIntelligence #China #ComputerScience #ComputerVision #DonaldTrump #Éire #Hangzhou #IE #IEEE #Ireland #LeafSnap #LingHaibin #MicrosoftResearchAsia #PekingUniversity #StonyBrookUniversity #Technology #WestlakeUniversity

AI scientist Ling Haibin, father of world’s first plant ID app, leaves US for China https://www.byteseu.com/1684264/ #AI #AmazonMachineLearningResearchAward #ArtificialIntelligence #China #ComputerScience #ComputerVision #DonaldTrump #Hangzhou #IEEE #LeafSnap #LingHaibin #MicrosoftResearchAsia #PekingUniversity #StonyBrookUniversity #WestlakeUniversity

They found that overall #Pl@ntNet and #LeafSnap did the best job of identifying #plants, but neither had an accuracy above 90%. They note also that some of the other #apps scored as low as 4% on some tasks.

https://phys.org/news/2023-04-smartphone-apps-good.html#!

They found that overall #Pl@ntNet and #LeafSnap did the best job of identifying #plants, but neither had an accuracy above 90%. They note also that some of the other #apps scored as low as 4% on some tasks.

https://phys.org/news/2023-04-smartphone-apps-good.html#!

They found that overall #Pl@ntNet and #LeafSnap did the best job of identifying #plants, but neither had an accuracy above 90%. They note also that some of the other #apps scored as low as 4% on some tasks.

https://phys.org/news/2023-04-smartphone-apps-good.html#!

They found that overall #Pl@ntNet and #LeafSnap did the best job of identifying #plants, but neither had an accuracy above 90%. They note also that some of the other #apps scored as low as 4% on some tasks.

https://phys.org/news/2023-04-smartphone-apps-good.html#!

@gippo @filippodb @utrin @ReL @Gippo @Chamaeleon peccato che #leafsnap (che mi pare sia cinese) sia solo in inglese, #plantnet è in italiano ma non ti aggiunge i dettagli delle piante, #inaturalist è un po' lenta e non così accurata come le altre almeno sul #basilico
la pianta di #menta non l'ha riconosciuta nessuna #app!