Voxel51 is the company behind FiftyOne, an open source toolkit that helps developers build better computer vision workflows.
Voxel51 and Zilliz
FiftyOne is the open source machine learning toolset that enables data science teams to improve the performance of their computer vision models by helping them curate high-quality datasets, evaluate models, find mistakes, visualize embeddings, and get to production faster. FiftyOne provides an API to create Milvus collections, upload vectors, and run similarity queries, both programmatically in Python and via point-and-click in the app.
Search by Natural Language using Milvus Similarity Search
Use Milvus to create a similarity index on your FiftyOne datasets and use this to query your data. The integration documentation provides examples of how to perform some common vector search workflows on a FiftyOne dataset using the Milvus backend such as creating a similarity index.
Perform Reverse Image Search using Milvus
The Reverse Image Search plugin extends FiftyOne’s vector search functionality beyond the data in the dataset. It provides a template for working with local or remote resources, and tailoring FiftyOne to use cases whether you want to build a Google image search clone, or just query popular datasets for dogs similar to your pup.
Unleashing the Potential of Visual Data: Vector Databases in Computer Vision
Explore advanced indexing algorithms and showcase real-world examples in healthcare, retail, finance, and more using the FiftyOne engine combined with the Milvus vector database.