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Google, accelerate your ambitions with Scale
Bring your ML models to life with industry leading data production, annotation and analysis - fast.
increase operational excellence
Digital doesn’t slow down, speed up with Scale
Thomas Kurian on The State of AI Adoption
Hear from Thomas Kurian, CEO of Google Cloud, as he discusses how AI helps businesses across various industries and use cases at TransformX 2022.
Data Labeling: The authoritative guide
The success of your ML models is dependent on data and label quality. This is the guide you need to ensure you get the highest quality labels possible.
67% of respondents have trouble with data bias
Read our flagship State of AI Readiness Report 2022 to uncover what's working, what's not, and the best practices for ML teams and organizations.
Speed Up ML Model Production
High quality data collection and annotation
Visualize, query and identify edge cases in your data
Optimize your label spend by identifying class imbalance, errors, and edge cases in your data
- See insights, search on custom metadata, and curate data slices to track model performance on specific scenarios.
- Filter data on model performance metrics or explore interactive confusion matrices to quickly find specific examples of model failure.
- Automate dataset uploads, add metadata, upload model predictions, and export data using Scale’s intuitive API.
Collect high quality data
Collect large volumes of high-quality real world data
- Well-trained global collector workforce.
- Diverse data types from egocentric videos to LiDAR full room scans.
- Automated duplicate detection, sensitive data recognition, and quality audit technology.
Annotate data with immense accuracy
Quickly annotate large amounts of data at production quality
- Support for any annotation type from human keypoints to dense point clouds.
- Industry leading label quality at production volumes.
- Optimize quality with human in the loop and ML powered labeling tools.
