djanta-rc.json annotation parser and generator
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Updated
Apr 20, 2024 - JavaScript
djanta-rc.json annotation parser and generator
A little text annotation tool I made for training named entity recognition models
An annotation processor that generates factories for your code. Compatible with Kotlin and auto-factory out of the box.
simple and easy image segmentation labelling tool for Windows
This annotation tool is build to clean and create video dataset.
datalabel is a UI-based data editing tool that makes it easy to create labeled text data in a dataframe. With datalabel, you can quickly and effortlessly edit your data without having to write any code. Its intuitive interface makes it ideal for both experienced data professionals and those new to data editing.
This is an annotation tool for image segmentation tasks, where the output after the annotation procedure is a binary mask.
Web GUI and Java Service to annotate items with additional human level information. #Annotation #ML
Browser bookmarklet that allows to create and view existing Hypothesis annotations without a login window
Python package to make statistical tests and add statistical annotations on plot generated with Plotly
Annotation tool for refining image caption
extracting all the intergenic regions from the genome annotation using the protein alignments.
Classification of flowers using transfer learning over inception V3 model in both Keras and Tensorflow
A template repository for seshat parser exetensions
Recon is a Java-based tool for the annotation of relations among textual elements and semantic concepts.
eNoseAnnotator is a program used to view, annotate and store measurements of the eNose sensor.
Visual Data Tagging Tool: A simple react-electron application for tagging data
Annotation software for crop structure (keypoint and bounding box)
ArgIR: Tool for annotation and retrieval of argumentative information from textual content. A case study in the Decide Madrid database. The search runs on Apache Lucene and the results (proposals and comments) are re-ranked according to the number of arguments they have.
Repository with the labels and annotations made on the Decide Madrid 2019 dataset, using different types of annotation tools.
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