Drone Control Computer Vision Project

Augmented Startups

Updated 3 years ago

1.1k

views

5

downloads
Classes (8)
follow
follow_hand
land
land_hand
null
object
takeoff
takeoff-hand

Metrics

Try This Model
Drop an image or
Description

Overview

The Drone Gesture Control Dataset is an object detection dataset that mimicks DJI's air gesture capability. This dataset consists of hand and body gesture commands that you can command your drone to either ,'take-off', 'land' and'follow'.

Example Footage

Drone Control

Model Training and Inference

The model for this dataset has been trained on Roboflow the Dataset tab, with exports to the OpenCV AI Kit, which is running on the drone in this example.

One could also build a model using MobileNet SSD using the Roboflow Platform deploy it to the OpenCV AI Kit. Watch the full tutorial here: https://augmentedstartups.info/AI-Drone-Tutorial

Using this Dataset

Use the fork button to copy this dataset to your own Roboflow account and export it with new preprocessing settings, or additional augmentations to make your model generalize better.

About Augmented Startups

We are at the forefront of Artificial Intelligence in computer vision. We embark on fun and innovative projects in this field and create videos and courses so that everyone can be an expert in this field. Our vision is to create a world full of inventors that can turn their dreams into reality.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            drone-control-af8y8_dataset,
                            title = { Drone Control Dataset },
                            type = { Open Source Dataset },
                            author = { Augmented Startups },
                            howpublished = { \url{ https://universe.roboflow.com/augmented-startups/drone-control-af8y8 } },
                            url = { https://universe.roboflow.com/augmented-startups/drone-control-af8y8 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { aug },
                            note = { visited on 2024-12-18 },
                            }
                        
                    

Similar Projects

See More