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Automan Labeling is an open-source software for self-driving AI.
The labeling facilitates the creation of a dataset to train self-driving AI. The tool provides support not only to label 2D from images but also to label 3D datasets obtained from a LiDAR sensor.
In a future patch, semi-automated labeling function uses a deep neural network algorithm to extract candidates from image data included in an input ROSBAG file. GUI tools will allow to label as polygons for segmentation tasks.
- Extract images and point clouds from ROSBAG file
- Set your custom class
- Manage simple permissions
- Label 2D and 3D objects
| Date | Feature | Description |
|---|---|---|
| 2019.12 | Object Tracking | Manage instance id through multiple frames |
| 2020.01 | Conflict Prevention | Prevent to edit the same frame with multiple labelers simultaneously |
| 2020.02 | Auto Labeling (Sample) | Label objects automatically |
- Contribution Rules (Must Read)
- Overview
- API Specification