awesome-data-labeling
VoTT
awesome-data-labeling | VoTT | |
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7 | 8 | |
3,480 | 3,670 | |
1.6% | - | |
0.0 | 0.8 | |
7 months ago | over 2 years ago | |
TypeScript | ||
- | MIT License |
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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
VoTT
- Need help identifying a good open source data annotation tool
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Best Image Annotation Tools
VoTT is an image annotation tool from Microsoft that has several interesting features that differ from the other tools. The installation of this tool is very easy because you could just simply download the installer according to your OS from their Github page.
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Heads Up: apparently Firefox does NOT add quarantine flag to downloaded Apps anymore (all downloaded apps launch instantly, even if they are not notarized or signed)
Last app tested was this and it is safe to try, when downloaded with Safari, it shows the warnings and prevents the launch, when downloaded with Firefox it opens instantly, no warning. (I downloaded on Firefox first which launched instantly, then removed the app and tried with Safari and the warning appeared)
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[D] What are people using to organize large groups of people for data labelling?
VoTT
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(WIP) I trained Yolov5 on Diablo
I annotated 100 images which 70% was used for the training. I used 7 classes and annotated with VoTT then converted to Pytorch yolov5 from roboflow. I don't remember the mAp, sorry.
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Face Recognition
Labeling images: depending on the tool, you must label the images in PASCAL VOC format for TF or YOLO for Darknet. You can use programs like labelImg, VIA, VoTT (no longer maintain), among others.
- [D] Can anyone recommend a tool for sorting images into folders for image classification?
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I'm currently working on an image labeling tool for machine learning: looking for advice!
Are you doing this as an exercise or is it that you need an image annotation tool? There are some really good open source ones, such as VoTT. Maybe you can start from there.
What are some alternatives?
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
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]
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.
SSL4MIS - Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series 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/opencv/cvat]
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
labelbee-client - Out-of-the-box Annotation Toolbox
make-sense - Free to use online tool for labelling photos. https://makesense.ai