Weeds Image Dataset

Overview

The Weeds dataset is a collection of garden weeds that can easily confuse object detection models due to similiarity of the weeds compared to its surroundings. This dataset was used with YOLOR for object detection to detect weeds in complex backgrounds.

Example Footage!

Weeds Detection

Training and Deployment

The weeds model has been trained in Roboflow, available for inference on the Dataset tab.

One could also build a Weeds Detector using YOLOR. This is achieved using the Roboflow Platform which you can deploy the model for robust and real-time detections. You can learn more here: https://augmentedstartups.info/YOLOR-Get-Started

About Augmented Startups

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Maintainer

augmented-startups

Last Updated

7 months ago

Project Type

Object Detection

Subject

Plants

Classes

Weeds

License

CC BY 4.0