Textile Buckets vs. Lightly

If you are familiar with cloud storage concepts, grasping the idea of buckets will likely be easy for you. Unlike traditional cloud services, buckets operate on open and decentralized protocols such as IPFS and Libp2p. These buckets can host websites, applications, and various data types directly from their structure. The Hub gateway provides a user-friendly interface for navigating through your Buckets seamlessly. Moreover, you can present web content within your Bucket, enabling the development of a continuously available website. By employing IPNS, you can ensure that updates are automatically distributed across IPFS. Organizations benefit from collaborative management of Buckets, promoting effective teamwork among members. You also have the capability to set up private Buckets, granting your app users a safe environment to keep their data. For enhanced security and long-term access, Bucket data can be archived on Filecoin, providing an additional layer of protection. To set up a Bucket in your working directory, you must first initialize it, which can be achieved using an existing UnixFS DAG from the IPFS network or by importing it into a current bucket through an interactive process. Additionally, creating buckets that can be accessed by all organization members fosters stronger collaborative efforts and resource sharing. This versatile solution effectively addresses a wide array of storage requirements, making it suitable for various applications.

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.