CSAILVision / CSAILVision/LabelMeAnnotationTool
Labelme to ADE20K dataset format
- Dominant language
- JavaScript
- Stars
- 1.5k
- Forks
- 443
- PR merge metrics
- No merged PRs in 30d
Description
Hello, I need to convert Labelme annotations files to ADE20K dataset format.
Then I will convert it to tfrecord format using [build_ade20k_data.py](https://github.com/tensorflow/models/blob/master/research/deeplab/datasets/build_ade20k_data.py), and I will train a deeplab model in Tensorflow.
Can you help please to convert Labelme annotation files to ADE20K format?
Contributor guide
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Research direction
The issue names Labelme annotation files and TensorFlow's build_ade20k_data.py; start by reading that converter's expected ADE20K inputs and comparing them with Labelme output. Define the required conversion scope and verify that a generated dataset can be consumed by the cited script.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript, tensorflow
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100