CMMSD_GroundTruth

Ground truth data for segmentation of monophonic music.

Brought to you by: anwaldt

Add a Review

Downloads: 1 This Week

Last Update: 2016-11-28

Browse Code

Get an email when there's a new version of CMMSD_GroundTruth

Data for the CMMSD segmentation ground truth.
The package contains the Sonic Visualiser files and the segmentation markers as .txt files.

Project Activity

See All Activity >

Follow CMMSD_GroundTruth

CMMSD_GroundTruth Web Site

Other Useful Business Software

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.

Try It Free

Rate This Project

User Reviews

Be the first to post a review of CMMSD_GroundTruth!

Additional Project Details

Registered

2013-07-15

Report inappropriate content

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Try It Free

Recommended Projects

Sonic Visualiser
Sonic Visualiser is an application for inspecting and analysing the contents of music audio files. It combines powerful waveform and spectral visualisation tools with automated feature extraction plugins and annotation capabilities.
Anaphraseus
Anaphraseus is a CAT (Computer Aided Translation) tool, OpenOffice.org 2-3 macro set for OpenOffice/LibreOffice Writer similar to famous Wordfast. It works with the Wordfast Translation Memory format (*.TXT), and supports text segmentation.
MaskFormer
Per-Pixel Classification is Not All You Need for Semantic Segmentation
RT_Image
A DICOM-compliant 3D image display, analysis, and segmentation package for incorporating molecular imaging data in radiation oncology
Segmentation Models
Segmentation models with pretrained backbones. PyTorch