Object Tracking based image annotation assistant, in order to increase annotation speed up
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Updated
Sep 18, 2022 - Python
Object Tracking based image annotation assistant, in order to increase annotation speed up
Vector Annotation tool for Video & Image files
An intuitive Python tool for annotating images with bounding boxes. Easily assign custom classes to objects and save annotations. Includes AI model integration for automated annotation. Perfect for streamlining computer vision projects. classes to these objects, and save annotations.
boxcel: Integrate Excel with Python for visualizing images with their corresponding bounding boxes for object detection annotation workflows
Cross-Platform Image Annotation Tool. Useful for Images and Image Sequences targeted for training Object Detector DNNs
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
A simple image annotator for showing images made with PIL and Tkinter
Propagate label annotations in Napari.
Example of how to integrate MATLAB apps into a Python deep learning workflow for computer vision and image analysis tasks.
a simple tool to generate image caption
Image keyword tool
Image Annotation Tool using Konva
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.
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.
A tool to create an annotated set of strict ordered data based on images.
Annotate 3D bounding boxes for 2D images with the link in description
Annotate images in .JPG- or .PNG-format with markers and polygons in connection with freely composable input form fields for metadata and subsequently export the annotation data as GeoJSON, as data for cropping with Pillow image library, or download the cut out polygons and their corresponding metadata as a ZIP file.
Image annotation tool is a web application that allows users to mark zones of interest in an image. These zones are then converted to XML TEI code snippet that can be used in your document to connect the image and the text.
Automate video data creation. Extract frames, generate annotations, export in various formats (YOLOv8, YOLO1.1). Integrate with Roboflow, CVAT. Built with Python and Streamlit.
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