Multi-view mode is a feature that allows you to view and annotate multiple images simultaneously. It is especially useful when you need to label objects from different perspectives, 3D reconstruction images, Autonomous vehicle camera views or depth estimation task images. Labeling in multi-view mode can significantly increase the speed of the labeling process (for example, you don't need to switch between images and select a desired class to label the same object)
Just organize images into groups and drop them to the import. The app will do the rest: it will detect groups, tag images, and activate grouping and multi-view modes in the project settings.
Note: To use the multi-view import feature, you need to create a project with the
Multi-view image annotation
setting enabled. You can also enable this setting in the project settings after the import. Here is a illustration of how to upload multi-view images:
Supported image formats: .jpg
, .jpeg
, .mpo
, .bmp
, .png
, .webp
, .tiff
, .tif
, .jfif
, .avif
, .heic
, and .heif
With annotations: Yes
Annotation types: Tags in Supervisely format
Grouped by: Folders (corresponding tags will be assigned to images)
- All images in groups in the created project will be tagged
Images Grouping
option will be turned on by default in the created project- Images will be grouped by tag's value
- Tag value is defined by group directory name
- Works with
.nrrd
image format (2D only)
-
Archive
zip
,tar
,tar.xz
,tar.gz
📦 my_project.zip ┗ 📂 cars catalog ┗ 📂 used cars ┣ 📂 105 ┃ ┣ 🏞️ car_105_front.jpg ┃ ┗ 🏞️ car_105_top.jpg ┣ 📂 202 ┃ ┣ 🏞️ car_202_front.jpg ┃ ┗ 🏞️ car_202_top.jpg ┣ 📂 357 ┃ ┣ 🏞️ car_357_front.jpg ┃ ┗ 🏞️ car_357_top.jpg ┣ 🏞️ car_401_front.jpg ┣ 🏞️ car_401_top.jpg ┗ 🏞️ car_401_side.jpg
-
Folder
📂 cars catalog ┗ 📂 used cars ┣ 📂 car_id_105 ┃ ┣ 🏞️ car_105_front.jpg ┃ ┗ 🏞️ car_105_top.jpg ┣ 📂 car_id_202 ┃ ┣ 🏞️ car_202_front.jpg ┃ ┗ 🏞️ car_202_top.jpg ┣ 📂 car_id_357 ┃ ┣ 🏞️ car_357_front.jpg ┃ ┗ 🏞️ car_357_top.jpg ┣ 🏞️ car_401_front.jpg ┣ 🏞️ car_401_top.jpg ┗ 🏞️ car_401_side.jpg
- Archive must contain only 1 project directory.
- Inside project directory must be 1 dataset directory.
- Group directories must be populated with images and placed inside dataset directory. All images inside groups will be tagged with folder name value.
- All images in the root dataset directory will be uploaded as a regular images and will not be tagged.
You can download an example data:
- images: download ⬇️
- NRRD: download ⬇️
-
To display single images switch off
Images Grouping
setting. -
If you want to disable images grouping for the whole project, go to
Project
→Settings
→Visuals
and uncheck -
Windowing tool is available when working with
.nrrd
files. It helps to filter pixels to see bones, air, liquids etc. -
Images view synchronization