Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
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Updated
Nov 1, 2022 - Python
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
Bounding box annotations for the G1 and G2 sets of the ChokePoint dataset
This repository is made up to support codes for this medium post: Features: tools for adding bboxes and corresponding labels. flexible to add more labels and its confidences and categories. an example code for object detection is provided. The code is developed using Test-Driven-Development.
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Generate object detection datasets from individual objects with automatic bounding box annotations
GUI for Bounding Box creation used in Object Detection Purposes
Python GUI to view and label DICOM images
Tool to aggregate bounding box events coming from image labeling tools and store them in a database. Also, provides API's to access these bounding boxes.
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