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Platform for data science teams to
Accelerate Model Accuracy Reduce Data Labeling Costs Curate Better Training Sets

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No ingestion or copying data

Access your visual data and metadata from any cloud provider (S3, Azure Hot, Google Cloud Storage) or from a local source without worrying about moving or copying it outside the your environment.

Explore
Identify latent structures of visual datasets

Interactively explore large volumes of visual datasets through a choice of clustering and embedding techniques, identify outliers, sample, detect biases and filter content.

Search
Image-based search

Perform interactive visual search across millions of images or large video datasets and intuitively refine to build effective training datasets.

Advanced Search
Patch search

Perform fine grainded search by simply drawing a region of interest "Patch" on example image or video frames

Compare
Identify data drift

Identify novel data across multiple data sets to create more interesting training points, evaluate labeling quality and consistency, determine data drifts, and more.

Analyze
Evaluate model accuracy

View model performance from multiple lenses and an aggregate view to identify the causes of inaccuracies within your model by isolating and focusing on the data that matters.

Benefits of using  Data Explorer

Save time and resources

Reduce hours of work to minutes. Drastically cut the manual labor and time spent on data selection and curation.

Accelerate the path to accuracy

Reduce the number of iterations and guesswork for improving your model accuracy by creating balanced and ...

Reduce the labelling spend

Avoid wastages in the costs associated with labeling data and get a better ROI on what you spend.

Selection of Data has a cascading effect on Training Time, Resources and achieving Model Accuracy.

Ready to experience the power of Akridata Data Explorer?

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