Lightly Description
Select the subset of data that has the greatest impact on the accuracy of your model. This allows you to improve your model by using the best data in retraining. Reduce data redundancy and bias and focus on edge cases to get the most from your data. Lightly's algorithms are capable of processing large amounts of data in less than 24 hour. Connect Lightly with your existing buckets to process new data automatically. Our API automates the entire data selection process. Use the latest active learning algorithms. Combining active- and selfsupervised learning algorithms lightly for data selection. Combining model predictions, embeddings and metadata will help you achieve your desired distribution of data. Improve your model's performance by understanding data distribution, bias and edge cases. Manage data curation and keep track of the new data for model training and labeling. Installation is easy via a Docker Image and cloud storage integration. No data leaves your infrastructure.
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Powerful and Efficient Data Labeling Tool with Smart Automation Date: Aug 17 2024
Summary: All things considered, Lightly has been a great help with our data labeling procedure. It has freed us up to concentrate more on developing the model instead of getting mired down in the laborious details of preparing the data. Our project turnaround times have significantly improved thanks to the platform, which is dependable.
Positive: Labeling big datasets takes a lot less time thanks to Lightly's automation capabilities like pre-labeling and active learning. It's a great option for optimizing workflow efficiency and simplifying data preparation because of its intuitive interface and smooth integration with machine learning frameworks.
Negative: Some of the most sophisticated features have a steep learning curve. It would be easier for new users to become acquainted with the tool if there were more video tutorials—especially ones with GIFs—in the manual.
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