Ondřej Veselý
cofounder, CEO, ideamaker, kindwise
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plant-id
5 min read
Summer 2024 Plant.id Model Update
The Plant.id model upgrade resulted in significant improvements in accuracy. It reached over 85% accuracy in the first response (TOP 1). The increase is greatest for European and North American plants, with 6.0% and 3.6%, respectively.
plant-id
5 min read
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.
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 🙂
plant-id
7 min read
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.
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
Major Plant.id model upgrade
We boosted the number of classes from 12k to 33k and increased the accuracy!