Plantnet Org
Pl@ntNet is a participatory science project accessible as an application that helps you identify plants from your photos. It also serves as a platform dedicated to plant biodiversity, without advertising or resale of data. The project is supported by the Agropolis Foundation.
An app for identifying plants from photos and contributing to biodiversity science.
- Identifying unknown plants in your garden or during a hike.
- Contributing to scientific research on plant biodiversity.
- Learning about different plant species and their characteristics.
- Use the Pl@ntNet application to take a photo of a plant. The application will then attempt to identify the plant based on the image. You can also contribute to the project by submitting your plant observations.
Landing AI provides a visual AI platform for building and deploying computer vision models.
Raster is an AI-powered digital asset manager for organizing, editing, and hosting photos.
RSIP Vision: Medical image analysis and AI solutions for innovative medical products.
AI-powered visual search and analysis for teams.
Smart home security solutions with AI alerts and emergency response.
AI-powered penis rating service with fun and private feedback.
AI-powered image processing APIs for various tasks, accessible via cloud subscriptions or custom solutions.
No-code AI visual inspection software with high accuracy and minimal false positives.
AI-powered dog breed identification from photos.
