Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations using a pre-trained model
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Updated
Apr 12, 2020 - Python
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations using a pre-trained model
Created an image viewer and annotator with fabricJs using Angular
wai.annotations module for managing YOLO datasets.
A tool for visualizing bounding boxes and adding labels to a given image.
A tool that will enable labelling of images for a dataset to be used for classification algorithm development.
npm package to draw on pictures and save them.
This project is the second project as part of Udacity AI Product Manger Nano-degree Programme
Cross-Platform Image Annotation Tool. Useful for Images and Image Sequences targeted for training Object Detector DNNs
Version 2 of CRF_ID for greater generalizability, including for multi-cell images.
Some data preprocessing scripts to generate label mask from Labelbox and ImageJ annotations to use them to train semantic segmentation deep learning models
Automatic artwork annotation with CLIP+ArtGraph extracted information
a utility for generating VOC image annotations
Annotate images on HTML Canvas using Fabric.js
deep learning using darkflow and darknet to detect polygons
Annotation plugin that can annotate any Highcharts independent of the UI of the buttons
Image Tagging, Weighted Multi-view Non-negative Matrix Factorization
Automatic annotation of cell identities in dense cellular images. Cloned from https://github.com/shiveshc/CRF_Cell_ID
Synthetic dataset generation with Stable Diffusion and generating of segmentation mask using Grounding DINO and Segment Anythin Model
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