Livestock counting: Datasets & Models

Counting livestock by hand is slow, repetitive, and inconsistent, especially across large herds or when animals bunch together and move. Miscounts affect inventory reconciliation, stocking-density decisions, feed planning, and loss detection, and sending staff to physically walk pens or fields does not scale. Automating the count with detection turns any camera or drone pass into a reliable headcount without disturbing the herd. It also creates a timestamped record you can audit and trend over time instead of relying on a clipboard.

Teams get faster, more consistent counts that reduce labor and catch discrepancies earlier, and the model runs on footage from cameras and drones you likely already operate. Detection scales from a single pen to thousands of animals across multiple sites, and outputs plug into inventory or herd-management systems via API. Starting from an existing livestock dataset shortens the path from prototype to a model tuned for your breeds and camera setup.

1. Upload an image: Drop any photo into the widget above to try livestock counting for free, right on this page.
2. Preview instant results: The model detects cow, sheep, goat, pig, chicken within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
3. Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train RF-DETR on your own images for production accuracy.
4. Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.