OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Pl@ntNet
PictureThis
iNaturalist
Garden Answers
Botan: Plant Identifier
Gardenia
HortusFox
Plant Parent
OpenCV Pl@ntNetBased on our record, OpenCV seems to be a lot more popular than Pl@ntNet. While we know about 62 links to OpenCV, we've tracked only 4 mentions of Pl@ntNet. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
OpenCV is the world's largest open-source computer vision library, supported by the non-profit organization, Open Source Computer Vision Foundation. It offers a wide range of algorithms that cover a variety of tasks, from basic image processing to advanced object recognition and motion analysis. - Source: dev.to / 9 months ago
Google's Gemini and other multimodal models also fit here, especially for mixed-input apps. James Allsopp, Founder of Ask Zyro, suggests, "For anything involving images or mixed inputs, tools like Claude 3 Opus (great for handling long context) or Google's Gemini can work well, depending on what you need for your user interface." These frameworks excel in scenarios requiring visual understanding, such as augmented... - Source: dev.to / about 1 year ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isnโt just a tool, itโs a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that donโt just interpret visuals, but... - Source: dev.to / over 1 year ago
Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / over 1 year ago
Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / over 1 year ago
There are a number of phone apps that will identify trees from a picture. I personally prefer plantnet.org (non-profit entity / no ads or tracking). Source: about 4 years ago
You can also go directly to plantnet.org and perform the same check. Source: over 4 years ago
Get the app from plantnet.org. It's developed by a non-profit consortium of European organizations. I promise it's completely ad free and won't terrorize you in any way. Source: over 4 years ago
You could scrape them off the plantnet.org site. But unless your problem is purely academic you could skip creating your own engine and just use their API. Source: almost 5 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
PictureThis - Instantly identify your plants
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
iNaturalist - iNaturalist is known as one of the most popular nature applications that helps you to identify the animals, plants, insects, and lots of other things with just a single click.
NumPy - NumPy is the fundamental package for scientific computing with Python
Garden Answers - Garden Answers is an online plant identification application that allows you to get detailed information about any plants or flowers in your garden.