Easiest way to use AI models without coding (Web UI & API support)
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Updated
Aug 28, 2024 - Python
Easiest way to use AI models without coding (Web UI & API support)
Video / Image Annotation (Polygon, Semantic mask, Classification) with Python
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
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
boxcel: Integrate Excel with Python for visualizing images with their corresponding bounding boxes for object detection annotation workflows
an image annotation toolkit
Fiji plugins for qualitative image annotations + analysis workflows for image-classification and data-visualization
Cross-Platform Image Annotation Tool. Useful for Images and Image Sequences targeted for training Object Detector DNNs
Object Tracking based image annotation assistant, in order to increase annotation speed up
A simple image annotator for showing images made with PIL and Tkinter
Propagate label annotations in Napari.
Automate video data creation. Extract frames, generate annotations, export in various formats (YOLOv8, YOLO1.1). Integrate with Roboflow, CVAT. Built with Python and Streamlit.
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.
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