labelImg
Tesseract.js
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labelImg | Tesseract.js | |
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117 | 32 | |
21,502 | 33,214 | |
- | 1.4% | |
0.0 | 8.2 | |
2 months ago | 11 days ago | |
Python | JavaScript | |
MIT License | Apache License 2.0 |
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labelImg
- configurate already maden python program
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labelImg VS anylabeling - a user suggested alternative
2 projects | 15 Apr 2023
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What is the best software to prepare training images for yolo (preferably offline).
In addition to the above comments, check out https://github.com/heartexlabs/labelImg
- Frigate+ privacy thoughts?
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looking from ML/Computer Vision mentor
For setting up object detection data I also really like LabelImg: https://github.com/heartexlabs/labelImg
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[D] What are people using to organize large groups of people for data labelling?
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.
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How do I label videos to use with YoloV5?
I've used CVAT and LabelImg and they both worked great
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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.
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How are custom (bounding box) object datasets collected in research/practice? Thinking about making an iOS app to help if this is tedious.
there are loads of labeling tools out there e.g. https://github.com/tzutalin/labelImg
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“Frameworks” for labeling training data (imagery)?
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.
Tesseract.js
- Scanare și digitizare bonuri – n-ar trebui să meargă mai bine cu generația asta de AI?
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WebDev Recommendations to Mimic AWS Textract Demo Functionality
I've never used it - but Tesseract.js looks interesting. Perhaps you can use it as a foundation on which to build something like the AWS tool (which seems to work by overlaying an SVG over the top of the image, then manipulates that SVG when user clicks on a results tag to get the word/phrase's highlight box to display)?
- Tesseract.js – Pure JavaScript OCR
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Import tables from reddit, monsters from PDFs, and more!
I just played with this for a second https://tesseract.projectnaptha.com/ It seemed to work OK as long as the image was high enough resolution even with a fairly busy background. Took maybe 5-10 seconds to run on a Sea Spawn stat block.
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Extracting Text from Images using Tesseract.js
TesseractJS - This is a pure JS port of Tesseract OCR which is a popular Optical Character Recognition engine.
- OCR-Results and simple site for the CIA-files
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Analyzing Kenya Power Planned Interruption Data
Extract Text from the images and converting them to txt file using Tesseract.js
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D2 Trading App: Image Import
Have you tried this version?
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Tesseract.js – Pure JavaScript OCR for 100 Languages
The total size of the download seems to be 3-4MB (based on https://github.com/naptha/tesseract.js/blob/master/docs/loca...), which is less than I expected.
What are some alternatives?
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
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]
Brain.js - Simple feed-forward neural network in JavaScript
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Keras.js - Run Keras models in the browser, with GPU support using WebGL
coco-annotator - :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
ConvNetJS - Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
BoofCV - Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.
Synaptic.js - architecture-free neural network library for node.js and the browser
Dannjs - Easy to use Deep Neural Network Library for JavaScript.