Cow detection: Datasets & Models
Cow detection uses computer vision to automatically locate and count cattle in images or video from farm cameras, drones, or fixed feedlot monitoring systems.
Cow detection
This cow detection workflow identifies individual cattle in visual data and returns a bounding box for each animal, letting you count, locate, and track cows across pastures, barns, and feedlots. It accepts standard image or video input from sources such as RGB farm cameras, drone footage, and fixed CCTV feeds, then outputs the position of every detected cow in each frame.
Try it out
Powered by general detection model
Run on custom image
Drop an image here or click to upload
Why automate cow detection
Manually counting cattle across large pastures or multiple pens is time-consuming, error-prone, and difficult to do consistently at scale. Automating cow detection lets agriculture operations track herd counts, monitor animal locations, and flag missing or stray livestock without walking every field. The result is faster inventory checks, better use of existing camera infrastructure, and reliable data for herd management decisions. Builders can integrate detection output directly into dashboards, alerting systems, or downstream counting and tracking pipelines.
Key benefits
Automated cow detection delivers consistent counts and location data that manual inspection cannot match at scale, freeing staff from repetitive headcount rounds. The model runs on footage from cameras and drones you likely already have deployed, so infrastructure costs stay low. As your operation grows, the same pipeline scales from a single pen to hundreds of hectares without adding labor.
How to use it
- Upload an image: Drop any photo into the widget above to try cow detection for free, right on this page.
- Preview instant results: The model detects cow, calf, cattle herd, ear tag, feeding trough 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.
- 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.
- 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.
Recommended model for cow detection
RF-DETR is state of the art for real-time object detection, instance segmentation, and keypoint detection, with higher accuracy and lower latency than comparable models, and it's Apache 2.0 licensed. When you're ready to build a production model for cow detection, fine-tune it on your own labeled images, then deploy to a Serverless Cloud API endpoint.
Not sure where to start?
Describe your Cow Detection project to Roboflow Agent.