AI tools can quickly stack up, adding maintenance costs and complicating the pipeline. Voxel51’s end-to-end ML platform provides engineers with the right tools to simplify building Visual AI.
Curate systematically for faster, more accurate models
Poorly curated data teaches your model wrong patterns. Systematic curation catches errors before training, so your model reaches performance targets with fewer iterations.
Catch poor quality samples that inflate performance by 10-15%
Augment data with synthetic scenes
Visualize data distributions
Query and explore data
Target missing scenarios to close performance gaps
Find edge cases that lead to failures
Annotation
Annotate 60-80% faster, train better models
Teams waste budgets labeling more than they need. Smart data selection techniques with auto-labeling and manual workflows significantly reduce annotation time and costs.