Multi-modal versatility
Combine barn cameras, drone footage, and depth sensors in one project to monitor animals indoors and on pasture.
Bring precision monitoring to every herd.
Feed pasture-management systems and digital farms with reliable datasets on livestock health and inventory to scale your models.
Keypoints on an animal's eyes, nose, and ears teach models to spot disease signs, assess mucous membranes, and track subtle physiological changes for early diagnosis.
Combine barn cameras, drone footage, and depth sensors in one project to monitor animals indoors and on pasture.
Pre-label and track individual animals across frames so counting and behavior labeling go faster.
Validation and expert review catch miscounts and mislabeled behavior before the dataset ships.
Share long monitoring sessions across annotators and reviewers, each with the right permissions.
Define custom classes for species, conditions, and behaviors, then export to your farm-analytics or ML stack.
Keep herd and farm data private, with on-premise deployment available.
Rectangular boxes that identify, locate, and count individual animals in a herd or pen.
Points on eyes, nose, and ears track biometrics, mucous-membrane condition, and respiratory rate.
Connected keypoints that model an animal's skeleton to analyze movement, detect lameness, and monitor reproductive behavior.
Pixel-wise separation of each animal in a dense group for precise weight and health tracking.
Flexible shapes that outline animal bodies or infrastructure like feeders and waterers to analyze feeding duration.
Pixel-level classification of the scene (pasture, dirt, water) and stall conditions.
3D boxes that record an animal's dimensions for remote assessment of volume, mass, and body condition.
A mix of annotation methods built around your specific livestock-monitoring task.
Book a demo and we'll scope your monitoring dataset with you.
Custom solution? hello@keylabs.ai