Effortless data labeling with AI support from Segment Anything and other awesome models.
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Updated
Jul 10, 2024 - Python
Effortless data labeling with AI support from Segment Anything and other awesome models.
QASM is a single-serve web application that runs using React and Electron, with the ability to run customizable QA or labeling jobs from a local host, a packaged windows .exe, or a statically hosted S3 website.
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
A toolkit for blockchain data collection
Segments.ai Python SDK
Smarter Manual Annotation for Resource-constrained collection of Training data
Print labels on Brother PTouch label printers with highly customizable HTML templates
Minimalistic CLI labeling tool for text classification
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952
Images to inference with no labeling (use foundation models to train supervised models).
🚤 Label data at scale. Fun and precision included.
A collection of Python scripts to improve the experience of owning a Zebra printer
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Image labelling tool using PyQT. Originally developed to label image restoration tasks.
Modified for annotation of object detection.
A CNN based image segmentation tool oriented to marine data analysis
Open source no-code system for text annotation and building of text classifiers
Labeling tool with SAM(segment anything model),supports SAM, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Python tool for generating informative labels out of a JSON/YAML file
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