SMART: An Open Source Data Labeling Platform for Supervised LearningChew, RobWenger, MichaelKery, CarolineNance, JasonRichards, KeithHadley, EmilyBaumgartner, PeterRTI International. P.O. Box 12194, Research Triangle Park, NC 27709-2194. Tel: 919-541-6000; e-mail: publications@rit.org; Web ...
Labeled data is vital for successful ML models. Open source data labeling platforms facilitate the development of ML models by allowing customization.
LabelLLM introduces an innovative, open-source platform dedicated to optimizing the data annotation process integral to the development of LLM. Engineered with a vision to be a powerful tool for independent developers and small to medium-sized research teams to improve annotation efficiency. At its ...
LabelImg, the popular image annotation tool created by Tzutalin with the help of dozens contributors, is no longer actively being developed and has become part of the Label Studio community. Check outLabel Studio, the most flexible open source data labeling tool for images, text, hypertext, aud...
Choose the Right Open-source Datasets Carefully Training machines on image and video files is aserious data-intensive operation. A singular image file is a multi-dimensional, multi-megabytes digital entity containing only a tiny fraction of ‘insight’ in the context of the whole ‘intelligent imag...
The Si nanowire width is 100 nm and the source, drain and sense contacts are made of Au-on-Ti. (c) Optical micrograph of an SU-8 microfluidic well exposing the T-nwFET's sensing nanowire surface. (d) Measured drain and sense currents versus varying substrate gate voltage of a dry T...
Source Data for Figs. 2, 3 and Extended Data Figs. 7, 8 are available with the paper. Code availability VirtualFlow is mainly written in Bash (a Turing complete command language), which not only makes it simple for anyone to modify and extend the code, but also has essentially no ...
engendered keen interest in the potential application of these models in the financial realm. It is, however, evident that the acquisition of high-quality, relevant, and up-to-date data stands as a critical factor in the development of an efficacious and efficient open-source financial language ...
While there are other open source image datasets that exist, they’re usually limited in size, expose low quality images, lack variability in the image data, or rely on mass labeling by 3rd party services. With over 200,000+ contributing global photographers and data sourced from hundreds of ...
Additionally, transferring to RE using an inductive approach scored an F-measure of 67.2%, which was 3.8% lower than training and testing on the same task. Hereby, our analysis shows that OIE can act as a reliable source task. 展开