Training & Test Data Creation
Gaming systems have a diverse set of users. Because AI learns from and is tested on labeled datasets, it is crucial to develop effective and intuitive AI. Incorporating training and test data can cover a variety of scenarios and inputs, from player behavior to in-game environments and assets. This model training is imperative to providing a robust and comprehensive experience for the user.
Content Moderation
Train your model to detect and filter out inappropriate or offensive user-generated content, such as hate speech, harassment, or explicit material. This involves training the AI on a dataset of labeled examples and continuously monitoring and updating its performance. This will ensure that the AI accurately and consistently moderates user content while also allowing for player expression and freedom of speech within appropriate boundaries.
Transcription
With a variety of nuances in each language, training your speech recognition technology to accurately understand and transcribe spoken words into text is essential to a seamless user experience. This can be leveraged in various ways in gaming, such as enabling voice-activated controls, providing real-time captioning for accessibility, or enabling voice chat between players. However, accurate transcription can be challenging, as it requires robust noise-cancellation, language and dialect recognition, and contextual understanding of gaming-specific jargon and terms. This is where we come in.
Image Annotation
Label and categorize images and videos to improve the performance of machine learning algorithms. Leverage labeling in object recognition, character animation, or environmental design. Empower your computer vision model with the DataForce proprietary platform and a community of more than 1.3 million global contributors.
Voice Recordings
Capture and collect high-quality audio data from voice actors or players to train your machine learning model for voice recognition or in-game dialogue. This enhances the player experience by providing realistic and engaging voice acting and can also facilitate the development of conversational AI and chatbots. At DataForce, our quality assurance process ensures consistency, diversity, and representation of the intended user demographic and game context.