plant-id

Suggestion filters: create custom species lists

Plant.id now allows plant species to be filtered by various criteria such as geographical distribution, morphology, ecology or practical use. This increases identification accuracy and confidence in the model.
nvidia card in dirt
plant-id
6 min read

Kindwise meets large language models

We started looking for synergies between our narrow ML models and LLMs. Let's play with this together on our demo 🙂

The Plant Identification Battle: GPT-4 vs. Plant.id

Multimodal Large Language models have recently made it possible to identify various objects from images, including plants. This became a competition for narrowly focused neural network models, such as that of Plant.id. Here we compare the accuracy of these models by focusing on the proportion of wrong answers.
plant-id
1 min read

Plant.id excells in urban forest biodiversity study

Plant.id emerged as the leading application for the automatic identification of tree species, outperforming other methods in accuracy and efficiency.
hands looking through old herbarium full of notes
plant-id
3 min read

API Search for plant/insect/mushroom details by its name

Our endpoint allows our clients to search through huge botanical, fungi or insect database by latin name or common names to get various species info
plant-id
5 min read

Elevate plant identification with varieties

As the world of houseplants and ornamental varieties continues to flourish, many people now seek more than species identification. Our new 'Varieties' model responds to this demand and offers you a unique opportunity to gain a competitive advantage by enabling the identification of almost 1,000 plant varieties.
plant-id
6 min read

October Plant.id upgrade

We have upgraded the Plant.id model, increasing the number of classes from 33,325 to 35,756. The new version, released in October 2023, shows significant performance improvements over the previous models, especially in Europe and North America.
plant-id
6 min read

Major Plant.id model upgrade

We boosted the number of classes from 12k to 33k and increased the accuracy!
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