This is a python based standalone image annotation tool designed for tasks such as image segmentation and object detection. The tool allows users to draw bounding boxes, polygons, and freehand paths, edit and manage annotations, and export the annotated data in multiple formats including COCO, YOLO, and PASCAL VOC.

Automate video data creation. Extract frames, generate annotations, export in various formats (YOLOv8, YOLO1.1). Integrate with Roboflow, CVAT. Built with Python and Streamlit.

Implementation of Meta AI's Segment Anything Model to do an automated image annotation of simple microscope images and a modified GAN to cluster the preprocessed images according to their qualitative features

Propagate label annotations in Napari.

Easiest way to use AI models without coding (Web UI & API support)

A simple image annotator for showing images made with PIL and Tkinter

boxcel: Integrate Excel with Python for visualizing images with their corresponding bounding boxes for object detection annotation workflows

an image annotation toolkit

Kivy app to facilitate the creation of image masks, labels, Ground-truth... to train Deep learning neural networks in the tasks of Classification, Object Detection, Semantic Segmentation and Instance Segmentation.

Object Tracking based image annotation assistant, in order to increase annotation speed up

Cross-Platform Image Annotation Tool. Useful for Images and Image Sequences targeted for training Object Detector DNNs

Fiji plugins for qualitative image annotations + analysis workflows for image-classification and data-visualization

Interactive Semi Automatic Image 2D Bounding Box Annotation and Labelling Tool using Multi Template Matching An Interactive Semi Automatic Image 2D Bounding Box Annotation/Labelling Tool to aid the Annotater/User to rapidly create 2D Bounding Box Single Object Detection masks for large number of training images in a semi automatic manner in orde…

Image keyword tool

Video / Image Annotation (Polygon, Semantic mask, Classification) with Python