GTS (Globose Technology Solutions) is an AI data collection and annotation services company dedicated to providing high-quality datasets for machine learning models. Its official materials state that the company is a leader in the field of AI dataset collection services, with the mission of providing unparalleled datasets for machine learning needs.
Purpose: GTS helps enterprises and research institutions obtain the data needed to train AI models, covering multiple types such as images, video, speech, and text. Its services are designed to unlock high-quality data and advance AI development.
Main capabilities:
- Image data collection: Curating professional image datasets, covering medical imaging, invoices, facial recognition, and more.
- Video data collection: Providing datasets ranging from CCTV footage to complex traffic videos to meet unique needs.
- Speech data collection: Supporting projects such as NLP, ground truth data collection, semantic analysis, and transcription.
- Text data collection: Providing a broad range of text datasets such as business cards, documents, menus, receipts, and bills.
- Image and video annotation: Focusing on diverse annotation techniques to refine images and videos for machine learning.
- Audio transcription: Providing AI-enhanced audio transcription services, suitable for ASR, virtual assistants, or text-to-speech.
How to use: The official materials do not provide specific usage steps or platform operation details, and only indicate that one can contact them through their website to discuss data collection needs in order to obtain a detailed needs assessment.
Applicable scenarios: Suitable for organizations that need image, video, speech, or text datasets for machine learning model training, including industries such as healthcare, transportation, customer service, manufacturing, and logistics.
Limitations and supplementary information: The official materials do not provide information such as fees, pricing, specific platforms, or performance guarantees. The company emphasizes that data accuracy is the cornerstone of reliable AI, and mentions that although manual annotation is reliable, errors and inconsistencies may occur due to various factors. The company has more than 11 years of microtask experience, has completed more than 1 million projects, has a workforce of more than 4.5 million people distributed across 136 countries, and is headquartered in the United States, China, and India. The company is certified under ISO 9001:2015, ISO 14001:2015, ISO 45001:2018, and ISO 27001:2013, and is committed to measuring and monitoring its carbon footprint, with the goal of achieving emissions neutrality.
