BBox-Label-Tool

Bbox Editor

An image labeling tool with Python Tkinter interface for creating and editing object bounding boxes.

A simple tool for labeling object bounding boxes in images

GitHub

1k stars
45 watching
561 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
drainingsun/ybatAn annotation tool for bounding boxes in images, supporting multiple formats and designed for efficient use in web browsers.274
bzero/typstwriterAn integrated editor for the typst typesetting system.71
tabixio/tabixAn online business intelligence application and SQL editor tool for Clickhouse2,173
simsys/qhexedit2A binary editor widget written in C++ that allows users to edit and manipulate hexadecimal data368
jaxony/turktoolAn application for annotating images with bounding boxes on Amazon Mechanical Turk or custom backend.56
texworld/betterbibA collection of command-line tools to help manage and format bibliographic data.820
buni-rock/pixieAn image annotation tool that provides features for bounding box, polygon, drawing, and semantic segmentation object labeling.71
hitachi-automotive-and-industry-lab/semantic-segmentation-editorA web-based tool for labeling and annotating images and 3D point clouds for machine learning model training1,827
mfl28/boundingboxeditorAn image annotation desktop application that allows users to create and manage bounding box annotations on images.51
bbn-q/quinceSoftware for designing qubit experiments in a graphical interface7
balazsjako/imguicolortexteditA text editor with syntax highlighting and features common in code editors1,464
abc02/aboo-wx-appletA small application built using the Wepy framework that showcases QR code preview functionality.6
brianleect/etherscan-labelsA tool to scrape and organize label data from various blockchain platforms using web scraping techniques and Python.265
jayanam/batexAutomates the export of Blender objects to FBX format in batches233
minglllli/cbafedA PyTorch implementation of a method for improving semi-supervised learning in federated settings by adapting pseudo labels to balance classes.7