Creation of training data through human labeling (annotation)
"Creation of Learning Data for AI (Annotation)" is a BPO service where specialized staff create and process essential learning data (training data) to improve the accuracy of AI systems. Utilizing Cybertech's own offshore base in Cebu, Philippines, we provide high-quality and reasonably priced annotation services in a secure environment managed by full-time employees. For image data, we support segmentation, key points, bounding boxes, and classification. Additionally, we cater to the creation of corpora and training data for text mining and machine translation, annotation of English data, and data augmentation using Python. By outsourcing the development process that requires a large amount of learning data for AI and machine learning, we support an environment where you can focus on building AI models and improving accuracy.
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basic information
Service Name: AI Learning Data Creation (Annotation) Provision Type: IT Outsourcing / Digital BPO Supported Data: Images, Text, etc. Main Services: Segmentation, Keypoint Annotation, Bounding Box, Classification, Corpus/Teacher Data Creation for Text Mining and Machine Translation, Annotation for English Data, Data Augmentation (Expansion and Enhancement of Learning Data) Work Method: Annotation through Human Labeling Implementation Structure: Experienced directly hired staff at our offshore base in Cebu, Philippines Security: Working in a secure office environment by full-time employees to handle highly confidential datasets Supported Languages: Japanese, English Features: Creation of large volumes of high-quality learning data at low cost. Supports data augmentation using tools like Python, assisting in the construction and accuracy improvement of AI and machine learning models.
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Applications/Examples of results
It can be used to create and process the training data (labeled data) necessary for the development of AI and machine learning models. In the field of image recognition, there are achievements such as keypoint annotation for human images, segmentation of metal object images, bounding box annotation for basketball images, and annotation of food images. It also supports classification for image classification, corpus/labeled data creation for text mining and machine translation, and tagging (attribute information) for English text. Furthermore, in cases where existing training data is limited, it can also handle data augmentation (expansion and enhancement of training data) using tools like Python. In the development of AI models for specific applications such as edge AI, it prepares large amounts of high-quality labeled data to support improvements in AI recognition and inference accuracy, as well as reductions in development time. Since the work is performed by directly employed staff in a secure environment, it can also accommodate highly confidential datasets.
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Many software products are made overseas, but for Japanese companies, they are not necessarily user-friendly. IT is originally a tool to improve business efficiency, yet aren't we in a situation where we are being "used" by overseas software products and IT services? The advantage of domestically produced software is its ability to "be close to the user and quickly incorporate their requests." We want to provide truly suitable software products and IT services for Japanese companies! CyberTech is committed to genuinely enhancing your business efficiency with our own developed software products and IT services!
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