Scout is a software application designed to support annotators and lab leads processing imagery for the Kavango–Zambezi Transfrontier Conservation Area (KAZA TFCA) aerial survey of animals.

With Scout, you can:

• Ingest high volumes of .ARW and .JPG images collected from survey cameras
• Group images as "Tasks" that can be assigned to other users (e.g., image annotators) or machine learning (ML) models for bounding box creation and species labeling
• Review and ground truth annotated images for accuracy
• Draw division lines for overlapping image sequences with annotations
• Export CSV data files for statistical analysis

NOTE: This software is designed to run on an air-gapped private network only. (Significant security modifications are needed before this platform is suitable for installation on a public network or cloud).

• A fast and stable internet connection.
• An 8GB-minimum thumbdrive.
• A dedicated, powerful laptop with a graphics processing unit (GPU) to run solely as the Scout server.
• Laptops with the Chrome web browser to connect to the Scout server for lab leads and annotators.

For installation and first-time configuration steps, follow our Server System Setup documentation guide.

NOTE: Installation will remove all data and any operating system from the Scout Server laptop. Ubuntu Linux will be installed as the operating system.

Use our Help Documentation to learn how to use Scout.

Visit Wild Me Professional Services to view the range of services we can offer.

For assistance with setup and installation, or for interest in development, join our Wild Me Development Discord. For usage issues and customer support, visit our Community page.

Scout supports three user roles:

• System Administrators install and run Scout.
• Lab leads create and manage user accounts, upload images, coordinate tasks, review and ground truth annotations, draw division lines, and export data.
• Annotators draw and label bounding boxes representing animals on images.

Lab leads view, filter, manage, and export Tasks using the Task table:

Annotators and ML models use bounding boxes, species labels, and annotation labels to indicate animals in images:

Scout uses Javascript (Sails.js) and integrated machine learning provided by Scoutbot.

Scout is licensed under the MIT open source license.