Speech
Audio files with corresponding timestamped transcription for applicationssuch as automatic speech recognition, language identification, and voiceassistants.
Access hundreds of ready-to-use Al training datasets. Theculmination of AlMSP's expertise in multimodal data collection,transcription,and annotation.
Al data comes in many forms, with diverse options available to suit the needs of yourproject. Training your model on high-quality data is crucial to maximize your Almodel's performance
Audio files with corresponding timestamped transcription for applicationssuch as automatic speech recognition, language identification, and voiceassistants.
Speech types: scripted (including TTs),conversational, broadcast
Recording types: microphone, telephony (mobile, landline), smartphone
Environments: quiet (home, office, studio), noisy (public place, in-car,roadside)
Audio quality: 8kHz - 96kHz
Tailored, ethically-sourced text datasets that drive smarter insights for more accurate language processing and machine learning models.
Pronunciation Dictionaries (Lexicons): 5.4M words in 75 languages
Part-of-speech (POS) dictionaries: 3.2M words in 18 languages
Named Entity Recognition (NER): 344k+ entity labels in 9 languages
Inverse Text Normalization: 36k+ test cases in 7 languages
115k+ images in 14+ languages to develop diverse applications such as optical character recognition (OCR) and facial recognition software.
15.8K images of documents in 14 languages with mixed premium and challenging conditions for OCR
13.5K human facial images of 99 participants in various lighting conditions, angles, and expressions.
High-quality video data to enhance AI models, like multi-modal LLMs, for tasks such as object detection, gesture recognition, and video summarization.
130 sessions documenting human body movement of 100 diverse participants in the United Kingdom and the Philippines
Multi-camera recordings in several locations with varied background, weather, and lighting conditions.
Precise location data for insights into user movements and interactions with specific points of interest, enabling location-based analytics and targeted strategies.
Accurate GPS signals collected in-app from SDKs
Global: 200+ countries
Compliant: 100% user opt in
Scale: 1.5+ billion devices and 500+ billion events
AIMSP's extensive catalog of off-the-shelf (OTS) datasets spans multiple data types and industries, providing comprehensive coverage for various AI applications. These datasets are crafted to the highest standards of quality and accuracy, ensuring reliable training data for AI models.