About our AI Models

Conservation AI aims to harness machine learning for various conservation projects. The conservation AI site allows you to upload your media for automatic species detection using our AI models. Using the site you can upload single files or batch upload files to create an online libary of classified data all in one place. The conservation AI platform also supports real-time uploads from devices such as camera traps to enable the real-time detection and classification of animal species.

Our models are trained to classify different species based on their geographical location. To date we have tagged over 200,000 objects across hundreds of different species.

What we can detect

You can use the dashboard below to see if a species is in one of our trained models along with how many images were used during training.

Conservation AI provides a generic detector which can detect Person, Animals and Cars (PAC). If a species is not included in one of our existing models you can select the PAC model to perform basic classification.

Camera Trap Models:
wdt_ID Scientific Name Common Name Model Name Model Type Region Image
2 Equus Quagga Zebra Sub Saharan Vision Africa EquusQuagga-150x150.jpg
3 Giraffa Camelopardalis Giraffe Sub Saharan Vision Africa GiraffaCamelopardalis-150x150.jpg
4 Loxodonta Africana Elephant Sub Saharan Vision Africa LoxodontaAfricana-150x150.jpg
6 Genus Tragelaphus Spiral-horned Bovines Sub Saharan Vision Africa GenusTragelaphus-150x150.jpg
8 Panthera Leo Lion Sub Saharan Vision Africa PantheraLeo-150x150.jpg

AI Models

Model Verson: Sub Saharan V15 (Current)

Train Date:
30/10/2024
Model Changes:
Quality update to reduce missclassifications.
Number of Tags Used in Training:

Model Verson: UK Mammals V10 (Current)

Train Date:
25/07/2024
Model Changes:
Quality update to reduce missclassifications. Changed model architecture.
Number of Tags Used in Training:

 

Model Verson: UK Birds V1

Train Date:
12/05/2021
Model Changes:
Quality update to reduce missclassifications. No new species added.
Number of Tags Used in Training:

Model Verson: North American Mammals V1

Train Date:
25/07/2024
Model Changes:
Quality update to reduce missclassifications. Changed model architecture.
Number of Tags Used in Training:

Tropical Reefs V1(Current)

Train Date:
08/05/2022
Model Changes:
Quality update to reduce missclassifications. No new species added.
Number of Tags Used in Training:
 

Model Verson: Central Asia Mammals V2 (Current)

Train Date:
28/11/2023
Model Changes:
Quality update to reduce missclassifications. New species added: Vulpes Vulpes, Gazella Subgutturosa, Capra Sibirica, Genus Camelus
Number of Tags Used in Training:

Model Verson: Central Asia Mammals V1 (Current)

Train Date:
25/06/2023
Model Changes:
Quality update to reduce missclassifications. New species added:
PantheraUncia, Person.
Number of Tags Used in Training:

Model Verson: Indomalayan Mammals v2 (Current)

Train Date:
30/08/2024
Model Changes:
Quality update to reduce missclassifications. Changed model architecture.
Number of Tags Used in Training: