MeshLabeler is a tool to help labeling the unlabeled (i.e new or self made) dataset manually over a private network so that together can make the task easier by a friendly UI.
Once an enthusiast collected some raw data for curiousity or for research purpose or may be he tried something new with the existing information.
For some reason he needed to be labeled this unlabeled new dataset, segment the unsegmented image or map the action segment of the video data. Thus he needed the helping hands. But the job became very hard as he had to collaborate this large dataset by excel sheet or some tools. Also needed to do a small brief on the tools.
Now all of his friends are avoiding him and sorrowfully started to hate him. If this persists and after some days someday...
So to avoid these angers, annoyings and hates; This system with a friendly UI and easy collaborative with privately distributed network system helps to reduce the time and complexity for these labeling and segmenting tasks.
It is also a contributors friendly system where help together in a easy way to make the world better.
| Data type | File | Perform | Status | Text | csv | Multi-label, Label | Developing | Image | jpg | Segmentation, Label, Multi-label, Annotation |Not yet | Video | mp4 | Segmentation, Label, Multi-label |Not yet | Audio | wav | Segmentation, Label, Multi-label |Not yet
- Manage only one dataset at a time.
- Save file will produce a file.