Imagine opening a map and instantly seeing every animal your drones have captured.

With Animal Detect, wildlife teams can now explore their drone data on an interactive map that updates in real time.

- Every GPS-tagged image becomes a data point
- Can be shared
- 100% traceability

Did you know you can zoom images to take a better look at your detections? 🔍👀

While working with drone footage, we often struggled to identify what animal are we looking at. So we added zooming support.

How to use: mouse whell up/down, or pinch with 2 fingers on touchpads.

Did you know you can use Animal Detect on your phone?

Not sure why, but you can. :^)

It's a part of our strategy is to be omnipresent. Phone? Tablet? Old laptop? Ultra-wide screen? Watch? Smart microwave? Of course.
jk, not the last two.

Try it out and if you see some bugs -> please let us know!

You can now sort animals by detection confidence or similarity. 🐁
This feature was requested by our local university students, who use Animal Detect as part of their semester project.

In their work, they wanted to sort all animals by confidence - from BEST to WEAKEST. Why not said we? Lets have it!

We enriched the result exports in Animal Detect! 📜

With our annotation generation and metadata scanning there are now more data points in result excel sheet/csv.

Animal Detect supports GBIF (Global Biodiversity Information Facility).

Animal Detecting Week 9 - TASMANIA 🦘

I always thought of this island as of something magical. So distant, so unreachable...

So I was happy to stumble upon a Tasmanian dataset I could play with.

From 400 images, animals detected on 374 images (93.5%), with 417 total animals & humans detected.

You can now delete detections in a project.

You asked - we added. 😎

Not all detections are always useful. Sometimes you might look for a coyote, but there are too many seagulls cluttering your data. Now you can delete them all with one click (and typing DELETE for safety!).

Our front page got an update! 🦛

Now you can test if we can recognize your animal directly on the front page.

Just choose your country & drag and drop an image.

PS. Photo used is by Marc Mol, taken in South Luangwa National Park, Zambia 💚

Animal Detecting Week 8 🐾
European Mammals & birds with LoFi sounds for a sunny Friday. 🌆

After working with many African and American datasets I felt curious about how we would perform on home datasets - in Europe.
So I run Animal Detect through this German dataset and the results are amazing.

Camera trap & drone image analysis has never been easier. Really.

In Animal Detect we listen to your feedback very carefully! What you are hyped about, what you think is "meh", and everything in between.

We have just upgraded species labeling experience to a new level. Now you can:

Animal Detect API Service is live!

We are releasing our endpoint /predict

Send it an image -> Receive all detections with animal species, for your country.

The setup takes 1 minute. Try it out now for free and give us feedback.

Link to start page: www.animaldetect.com/api

Hey everyone! 😄

We made a free online tool to analyze single images for wildlife community.

It works extremely simple - drop an image, get animal (or human/vehicles) detected/labelled in seconds.

Animal Detect can help your wildlife organization to build cutting-edge data & AI driven solutions!

If you drown in wildlife data, frustrated with old software that doesn't feel good, or dream of an AI model trained specifically for your species:

❗ we can help.

read further what can we do 👇

Animal Detecting Week 3

In this weekly post I am processing various animal datasets and report on results. Sometimes those datasets are purely wildlife, sometimes they are mixed with human-made objects and AI generated content. Lets see!