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!
What is "Similarity"?
- We score each animal image on how similar it is to other animals. Then we group them.
What is "Confidence?"
- How certain AI-model is in its guess.
By the way, did you know we provide free credits for students & PhD who do academic research?
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!
I showed her Animal Detect with our latest additions and plans. Sara, being sharp minded, challenging, and extremely competent, was the exact feedback I needed to receive on how to improve the platform for the academic world.
The gears are spinning, the furnaces are working.
Stay tuned.
New friends, new insights, new ideas! 🥸
I had a chance to steal Sara Beery away for a chat from the stage (she was the guest speaker) of AI + Environment Summit Zurich.
We discussed the state of AI in Wildlife conservation domain and where the leading research is going.
So this is what Animal Detect is aiming to provide. We extended number of data points in export results, and improved the tooling for data annotation and labeling. But this is far from over, there is a big TODO list awaiting to be done. 🥸
In my search for answers on what do the academic world values in wildlife conversation work I attended AI + Environment Summit in Zurich, Switzerland.
The PhD-to-square-meter ratio was above 1. Woah.
Did I get an answer to my question? Yes, absolutely.
The next step is to add an AI-based reading of text contents ON the actual image. The stuff that is written on images by cameras: better timestamps, temperature, moon phase, burst sequences, etc.
Is there anything missing that you need? Tell us. 🙏
You can download now:
- timestamps (when image was taken)
- animal detection label on the image (1 detection = 1 line)
- detection confidence
- full taxonomy: class/order/family/genus/species
- GPS coordinates
- altitude
- image width/height/file size/file format
- camera brand/model etc.
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.
Nothing lasts forever.
Enjoy your time, be helpful to others, and contribute to the world.
Rest in peace Jane Goodall.
People like Jane remind me that life is not about bringing maximum value to shareholders, but about something greater. A sense of discovery. An exploration. A greater mission.
Want to know more about how you can improve your biodiversity monitoring already today? Contact us!
AI didn't recognize your animal? No worries. You can access GBIF database directly on the page and add your animals species from a database with more than 5 million entries. All in less than 5 seconds seconds. The added species will be remembered and available in your list now.
Animal Detect supports GBIF (Global Biodiversity Information Facility).
How Animal Detect Works:
1. You upload images
2. System finds all animals and separates blanks.
2. System recognizes 2000+ animal species
3. You get results
Are you part of the team working with camera trap images and want to improve your biodiversity monitoring? Contact me and we can have a chat.
Recently we added a bunch of new features for manual editing like:
- Delete selected images
- GBIF database with 5+ million species entries
- Zoom in/out feature
A bit of facts on the dataset used:
Name: Mega-Efficient Wildlife Classifier (MEWC) Case Study
Size: 660MB
Images: 400 images
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.
The project took me 9 minutes to go through.
A bit of facts on the dataset used:
Name: Mega-Efficient Wildlife Classifier (MEWC) Case Study (unprocessed_service.tar part)
Size: 660MB
Images: 400 images
From 400 images, animals detected on 374 images (93.5%), with 417 total animals & humans detected.
Recently we added a bunch of new features for manual editing like:
- Delete selected images
- GBIF database with 5+ million species entries
- Zoom in/out feature
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 💚
I believe the nature-credits will be appealing to wildlife teams as long as they do not need to keep an internal office staff to monitor and comply with the reporting policies.
Thanks to NetworkNature EU team for organising this!
Where does Animal Detect stand in the Nature-Credit ecosystem? As a credible report provider. We aim to
help wildlife organisations to convert their wildlife data into results that are audit-friendly, verifiable, and accepted by nature-credit issuing organizations.
I belong to the first camp. I think as long as there will be a demand-side to nature-credits, most likely a regulatory compliance by EU, there is no harm in letting wildlife organisations create an extra revenue stream by monetizing their efforts.
Why heated? I've learned that there are 2 camps of opinions: those who see it as a good way to monetize good effort of wildlife organisations, and those who see it as another bureaucratic tool for brandwashing (idk if thats a term, I just made it up).
One of my primary goals (besides making new friends) was to explore the new heated topic of Nature-Credits. Its like carbon-credits...but nature.
It was refreshing to attend NetworkNature EU conference in Brussels this week.
Normally I communicate a lot with people working "close to the source" - wildlife organizations and agencies overseeing nature areas. So it was new for me to meet people on the other end - policymakers alike.
Ahh, now I have something to wear! 🤠
Our new merch arrived, time to detect some animals!
