Stick detection Instance Segmentation Dataset and Pre-Trained Model by Agrowizard

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Explore Dataset

Here are a few use cases for this project:

Forest Cleanup and Maintenance: This model could be used by park services or forest maintenance crews to identify areas with abundant fallen sticks, enabling the cleanup process and reducing the risk of forest fires.
Robotics & Automation: In a scenario where robots are efficient in picking up smaller objects, robots can be programmed to recognize sticks and gather them in a certain place for disposal or resource utilization, be it in commercial, outdoor, or home environments.
Construction Safety: Construction companies could use this model to identify sticks and other similar objects on construction sites that may pose a safety risk, creating a more secure working environment and preventing possible accidents.
Outdoor Games Tool: Some outdoor games or sports (like fetch with dogs or outdoor survival challenges) might require finding sticks. This model can be used in apps to aid players to locate sticks more efficiently.
Outdoor Wildlife Research: Researchers studying certain species might benefit from identifying areas with more stick/twig availability, as this may influence the habitation patterns of certain animals or insects.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            stick-detection_dataset,
                            title = { Stick detection Dataset },
                            type = { Open Source Dataset },
                            author = { Agrowizard },
                            howpublished = { \url{ https://universe.roboflow.com/agrowizard/stick-detection } },
                            url = { https://universe.roboflow.com/agrowizard/stick-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-06-28 },
                            }