Released: Dec 10, 2012
The LabelMe App will allow you taking pictures, adding bouding boxes and uploading them your LabelMe online account.
A quick guide
Step 1: Get the LabelMe App
The LabelMe app is available for free at the App Store
Step 2: Create an account
If you have already a LabelMe account, you can use the same username and password. You can also create a user account from the App and use it at the LabelMe website. Once you create an account you can log in and start taking pictures and store them online.
Step 3: Collect and annotate images with the App
The images you collect will be uploaded to your online LabelMe account.
Step 4: Download the images and annotations
You can download the images from the LabelMe website (collection: iPhoneCollection).
You can also use the LabelMe toolbox to download the images and annotations. Use the matlab function:
And that's it!
Some more details
In the gallery you can see the images on a grid or a list layout. You can use the gallery view to upload and delete images.
The circle on the top-right corner of each image indicates if the image has been uploaded to the server. A number indicates how many new objects have been added since the last upload.
The gallery only shows the images available on the mobile device.
You can add bounding boxes around objects on each image. Once you have adjusted the bounding box to contain the object, you can add a tag to describe the object. You can use the keyboard or the microphone to tag the annotated object.
Once you upload the image you will be able to visualize the annotations on the LabelMe website. You can also make changes and add new annotations, however online changes will not be reflected on the data stores in the App and might get deleted if the image is uploaded again from the App.
Images are uploaded to your account on the labelMe server. The images will be stored into the folder /iPhoneCollection/.
Currently, all the images captured from the App will be stored in a single folder. It is not possible to create collections within the App.
To download the images captured with the app you need to first upload them to the server and then download them from the LabelMe website.
If you share your username with other people, they will be able to download your images and annotations using the LabelMe toolbox.
If you want multiple people to help you collect and annotate images, they can create their own accounts and share the username with you so that you can download the images and annotations.
If you delete images from the app, the images and annotations will only be deleted on the mobile device and will still be available on the LabelMe website if they have been uploaded. If you want to delete the images from the server you have to log in into the LabelMe website and delete the images there.
Deleting images on the App will allow you freeing memory without loosing the images that had been uploaded.
If you want to delete images from the server too, you have to do it from the LabelMe website.
There are several settings that can be modified:
- Save to library: if on the images will be saved to the iPhone camera roll.
- Image resolution: you can chose the image resolution. It is set to max resolution by default.
- GPS: you have to habilitate the location services in order to record the GPS coordinates inside the XML annotation file.
Please make sure that the images you upload are copyright-free and do not contain inappropriate content. The images that you upload and annotate will be considered part of the public domain and other people might see them. As the goal of LabelMe is to provide a tool for research, the images and annotations are expected to become available to the research comunity without restrictions.
You are free to post your collected database of images and annotations on your own website. For example, you may do this when you release your database with your research publications.
Once you upload your images, they will be available online. Even if they are not listed, knowing the URL will be enough to access them. This makes easier to do research with the images collected.
Therefore, do not upload personal material that you do not want others to see
If you use the dataset or any functions on this website, we would
appreciate it if you cite:
B. C. Russell, A. Torralba, K. P. Murphy, W. T. Freeman, LabelMe: a database and web-based tool for image annotation. International Journal of Computer Vision, pages 157-173, Volume 77, Numbers 1-3, May, 2008. (paper.pdf)
Send email to email@example.com if you have suggestions, find bugs or there are new features that you would like to see in the tool.
The LabelMe app has been developed by Dolores Blanco, Aina Torralba, David Way and Antonio Torralba.