plantnet/PlantNet-300K
[NeurIPS2021] A plant image dataset with high label ambiguity and a long-tailed distribution
This project offers a large collection of plant images, totaling over 300,000, categorized into 1081 species, suitable for training machine learning models. It provides a dataset of plant photographs and associated metadata, allowing researchers and botanists to build and evaluate algorithms for automated plant identification from images. The primary users are machine learning researchers or botanists with programming skills interested in advancing automated plant recognition systems.
246 stars. No commits in the last 6 months.
Use this if you are developing or evaluating computer vision models for identifying plant species from images, especially if your goal is to handle a wide range of species, including those with limited available photos.
Not ideal if you are a casual user looking for a simple app to identify plants, or if you need an out-of-the-box solution without any programming or machine learning expertise.
Stars
246
Forks
36
Language
Python
License
BSD-2-Clause
Category
Last pushed
Jun 23, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/plantnet/PlantNet-300K"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sarthakpranesh/PlantRecog
Free Plant Recognition App + Public API + Models
aayush-1709/ai-crop-disease-detection-agent
This is a full stack web app, which Includes Frontend (HTMLCSS,JS), Backend(Flask), Machine...
johri-lab/Automatic-leaf-infection-identifier
Automatic detection of plant diseases
AayushG159/Plant-Leaf-Identification
Identification of plants through plant leaves on the basis of their shape, color and texture...
Rishit-dagli/Greenathon-Plant-AI
Identify Diseases in Plants☘️ with Machine Learning on the web using TFJS