cvat
awesome-data-labeling
cvat | awesome-data-labeling | |
---|---|---|
3 | 7 | |
7,813 | 3,465 | |
- | 1.2% | |
9.7 | 0.0 | |
over 1 year ago | 7 months ago | |
Open Policy Agent | ||
MIT License | - |
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cvat
- Video annotation software
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Desktop app for CV task
try CVAT https://github.com/cvat-ai/cvat
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CVAT alternatives for video frame annotation
Anyway, the new CVAT repo can be found at https://github.com/cvat-ai/cvat
awesome-data-labeling
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CVAT alternatives for video frame annotation
GitHub - heartexlabs/awesome-data-labeling: A curated list of awesome data labeling tools
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[P] Can anyone suggest free Image annotation tool for multi labelling?
Checkout this curated list on heartexlabs github. I used the list to find server-like annotation tools.
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Segmentation Maps
A Google search throws plenty of results for labelling tools: - https://github.com/heartexlabs/awesome-data-labeling - https://www.folio3.ai/blog/labelling-images-annotation-tool/ - https://neptune.ai/blog/data-labeling-software/amp
- How would you structure a dataset for both image counting and classification? And what would be the best approach for this task?
- Awesome-Data-Labeling
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How to get image dataset annotated? Any idea?
If you're looking for a tool or something, there are plenty out there. Of course, even with these tools, labeling 50k images is likely not feasible for an individual.
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[D] Suggestions for sentiment analysis tools
You can have a look at aws ground truth for this, or have a look at this https://github.com/heartexlabs/awesome-data-labeling
What are some alternatives?
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK
diffgram - The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
SSL4MIS - Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Universal Data Tool - Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
labelbee-client - Out-of-the-box Annotation Toolbox
ipyannotator - the infinitely hackable annotation framework
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.