10 principais labelyourdata.com concorrentes

superannotate.com

The Real-life AI podcast discloses practical applications of AI with leading industry and academia experts.

dataannotation.tech

Answers to common questions about applying, pay rates, project types, qualifications, and what it's like to work with DataAnnotation.

lxt.ai

Overview of LXT's AI training data services covering audio, speech, text, image, and video data types, supporting over 1000 language locales worldwide.

appen.com

Avoid online scams by only communicating through Appen’s official channels. Visit appen.com for more details.

humansignal.com

The most flexible, secure and scalable data annotation tool for machine learning & AI—supports all data types, formats, ML backends & storage providers.

basic.ai

With 7 years in AI data solutions, BasicAI provides the best data annotation platform and pro data labeling services for AI / ML model training by thounsands of global AI partners in AV, ADAS, Smart City and more.

sigma.ai

Independent evaluation, high-fidelity data, and human intelligence for the teams building and deploying AI systems.

modelsify.com

Advanced AI undress technology. Transform photos instantly with realistic AI processing. See clothes removed in seconds. Try free demo.

catalyzex.com

CCA-MDD: A Coupled Cross-Attention based Framework for Streaming Mispronunciation detection and diagnosis: Paper and Code. End-to-end models are becoming popular approaches for mispronunciation detection and diagnosis (MDD). A streaming MDD framework which is demanded by many practical applications still remains a challenge. This paper proposes a streaming end-to-end MDD framework called CCA-MDD. CCA-MDD supports online processing and is able to run strictly in real-time. The encoder of CCA-MDD consists of a conv-Transformer network based streaming acoustic encoder and an improved cross-attention named coupled cross-attention (CCA). The coupled cross-attention integrates encoded acoustic features with pre-encoded linguistic features. An ensemble of decoders trained from multi-task learning is applied for final MDD decision. Experiments on publicly available corpora demonstrate that CCA-MDD achieves comparable performance to published offline end-to-end MDD models.

voyageai.com

Voyage AI provides cutting-edge embedding models and rerankers for search and retrieval