Geoalert

Segment Anything with
Today we introduce the public beta release of the “Segment Anything Model” featured in Mapflow.

In April 2023 Meta AI introduced the open model which was claimed to be foundational to identifying any objects in any image. While the large language models are considered to be game changers in generative AI, the SAM is here to present a base model for doing a good number of applications of visual object recognition with real-time prompting.

While studying and being inspired by some of these open-source repos we found out that it’s worth implementing SAM into our platform while adjusting it to the geospatial imagery processing workflows on a large scale.
https://geoalert.medium.com/segment-anything-with-mapflow-b0d3d3b79c1

🌳 🏘 Mapbox + Mapflow = Australian and New Zealand urban green patterns.

We showcase Geoalert solution for 🌿 Vegetation management 🌿 near power transmission lines.
Actually, Earth observation data analysis has become a crucial application to safeguard such assets with remote control. Besides risk management, there is the planning of works and costs beforehand, etc. (You can ask ChatGPT to generate more reasons why you need it, but we suppose you know your pain better).
While Lidar / aerial survey provides top-notch data it might be expensive when it comes to extensive power line networks, where monitoring vegetation risks across vast territories is a constant demand.
👉 Mapflow AI model is super cost-effective as it is trained on lidar data to perform on mono satellite imagery with an accuracy of F1 0.6–0.8 depending on the vegetation class. Satellite datastreaming makes it possible to enable instant access to global providers with automatic processing (e.g. Maxar SecureWatch). You can either use your own UAV / Satellite images / TMS to get them securely connected to our AI platform.
If you are related to utility assets management / risk control, etc. we would love to hear from you and to set up an evaluation account. As a test of our technology data analysts can get started with the free Mapflow plugin for QGIS and default 🌲 Forest and 🌲↕️ Forest with heights AI models.
https://geoalert.io/solutions/power

You never know what you will find in some user images 😳 (sharing here with the user's permission).

BTW can you guess what kind of animals are there and where this image was captured?

And here is some teaser of what we working on now as we are looking forward to covering more specific cases like this. If you didn't find the solution for your case with the default AI models in Mapflow, maybe it will be solved in the upcoming release. Comment on this post and we will include you in beta-testing with enough of a free limit!