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|Apache License 2.0||MIT License|
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We haven't tracked posts mentioning OpenLabeler yet.
Tracking mentions began in Dec 2020.
What is the best software to prepare training images for yolo (preferably offline).
2 projects | reddit.com/r/computervision | 8 Oct 2022
In addition to the above comments, check out https://github.com/heartexlabs/labelImg
Frigate+ privacy thoughts?
3 projects | reddit.com/r/selfhosted | 23 Sep 2022
looking from ML/Computer Vision mentor
2 projects | reddit.com/r/ProgrammingBuddies | 3 Aug 2022
For setting up object detection data I also really like LabelImg: https://github.com/heartexlabs/labelImg
[D] What are people using to organize large groups of people for data labelling?
5 projects | reddit.com/r/MachineLearning | 14 Jul 2022
Our case is a bit specific, but we have had a great experience working with a simple tool called LabelImg (https://github.com/tzutalin/labelImg). The source code is trivial, and you can make some adjustments (line colours, box fill, etc.) before putting it into use with people.
How do I label videos to use with YoloV5?
2 projects | reddit.com/r/computervision | 9 May 2022
I've used CVAT and LabelImg and they both worked great
4 projects | reddit.com/r/learnpython | 15 Feb 2022
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.
How are custom (bounding box) object datasets collected in research/practice? Thinking about making an iOS app to help if this is tedious.
2 projects | reddit.com/r/computervision | 23 May 2021
there are loads of labeling tools out there e.g. https://github.com/tzutalin/labelImg
“Frameworks” for labeling training data (imagery)?
3 projects | reddit.com/r/datascience | 31 Jan 2021
I recently used labelImg. It's free, easy to use and has a simple interface. If you don't want to install nothing you can use VGG Image Annotator because it runs directly in a web browser.
Sitting Posture Identifier using AI
2 projects | dev.to | 8 Jan 2021
You get the idea. Images with people having their necks upright would be labelled as neck_good and vice versa. Labelimg made by tzutalin was used for labeling the images. You just need to draw a rectangle around the region, and then assign the respective label.
📖 👆🏻 Making the Printed Links Clickable Using TensorFlow 2 Object Detection API
16 projects | dev.to | 1 Dec 2020
To do the labeling (to mark the locations of the objects that we're interested in, namely the https:// prefixes) we may use the LabelImg graphical image annotation tool.
What are some alternatives?
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.
coco-annotator - :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
tensorboard - TensorFlow's Visualization Toolkit
models - Models and examples built with TensorFlow
videojs-annotation-comments - A plugin for video.js to add support for timeline moment/range comments and annotations
Pythonista - Collection of Python Scripts written for Pythonista iOS App
labelbox - Labelbox is the fastest way to annotate data to build and ship computer vision applications.
darknet - Convolutional Neural Networks
links-detector - 📖 👆🏻 Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.