What is Lightly?
Lightly intelligently pinpoints the most significant subset of your data, improving model precision through ongoing enhancements by utilizing the best data for retraining purposes. By reducing data redundancy and bias while focusing on edge cases, you can significantly enhance the efficiency of your dataset. Lightly's algorithms are capable of processing large volumes of data in less than 24 hours. You can easily integrate Lightly with your current cloud storage solutions to automate the seamless processing of incoming data. Our API allows for the full automation of the data selection process. Experience state-of-the-art active learning algorithms that merge both active and self-supervised methods for superior data selection. By leveraging a combination of model predictions, embeddings, and pertinent metadata, you can achieve your desired data distribution. This process also provides deeper insights into your data distribution, biases, and edge cases, allowing for further refinement of your model. Moreover, you can oversee data curation efforts while keeping track of new data for labeling and subsequent model training. Installation is simple via a Docker image, and with cloud storage integration, your data is kept secure within your infrastructure, ensuring both privacy and control. This comprehensive approach to data management not only streamlines your workflow but also prepares you for shifting modeling requirements, fostering a more adaptable data strategy. Ultimately, Lightly empowers you to make informed decisions about your data, enhancing the overall performance of your machine learning models.
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Powerful and Efficient Data Labeling Tool with Smart Automation
Date: Aug 17 2024SummaryAll 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.
PositiveLabeling 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.
NegativeSome 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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