Cattle detection: Datasets & Models

Manually counting and monitoring cattle across large ranches, pastures, and feedlots is slow, error-prone, and labor-intensive, especially when animals move between paddocks or gather in dense groups. Automating cattle detection with computer vision gives agriculture operations continuous, consistent head counts and location awareness, helping catch missing animals, verify inventory, and reduce the hours spent on physical roundups. Because the model processes camera and drone imagery on demand, teams get reliable data at any hour without walking the fields. This frees ranch staff to focus on animal health and operations rather than tedious visual tallies.

Accurate, repeatable cattle counts reduce manual labor and improve inventory confidence across pastures and feedlots. The detection model integrates with existing farm cameras, drones, and mobile devices, so you can deploy without new specialized hardware, and it scales from a single pen to thousands of head across multiple sites. Built on RF-DETR, it delivers strong detection accuracy in cluttered outdoor scenes and can be retrained on your own imagery to adapt to specific breeds and environments.

1. Upload an image: Drop any photo into the widget above to try cattle detection for free, right on this page.
2. Preview instant results: The model detects cattle, cow, calf, bull, livestock 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.