Thanks to our WILDLABS award, we're excited to announce that Zamba Cloud has expanded beyond video to now support camera trap images! This new functionality enables researchers to do species classification on their complete camera trap datasets—both videos and images—through a single, easy to use platform.

Key features of our image support include:

• Recognition of 178 wildlife taxa from around the globe

• Automatic bounding box generation

• No-code custom model training for your species and habitat

You can sign up for a Zamba Cloud account today and start processing both videos and images at https://www.zambacloud.com.

Zamba Cloud is built on our open source package Zamba, which has all the same features as Zamba Cloud (plus a little more). If you'd prefer a CLI or Python integration, our Github is the place to go.

Questions, feedback, or anything else, really: comment below or email zamba@drivendata.org.

Bonus:

• A big thank you to the folks that answered our previous survey! We tried to directly address the common issues you had with the existing tools, so hopefully you find this useful!

• If you have labeled camera trap data you'd like to share with us so we can make the pretrained models even better, please get in touch! You can comment here or send an email to zamba@drivendata.org.