Resources

Blogs

• [Partner] Managing Video Data with ApertureDB and Twelve Labs
• [ApertureData] Are Vector Databases Enough for Visual Data Use Cases?
• [ApertureData] What's in Your Visual Dataset?
• [ApertureData] ApertureDB 2.0: Redefining Visual Data Management for AI
• [ApertureData] Building a Specialized Database for Analytics on Images and Videos
• [ApertureData] Minute-Made Data Preparation with ApertureDB
• [ApertureData] Managing Visual Data for Machine Learning and Data Science. Painlessly.
• [Intel] Seeing Further Down the Visual Cloud Road
• [Intel] Overcoming Visual Analysis Paralysis
• [Intel] Visual Data: Pack Rat to Explorer

Tutorials

• Image Similarity Search

Videos

• [Intro] Data science challenges in extracting value from image and video based data
• [Demo] How do you find what’s in your image or video datasets?
• [Data Council 2022] Just Because Your Data Is Unstructured Doesn’t Mean it Should be Onerous.
• [Multimodal Weekly 2023] Are Vector Databases Enough for Visual Data Use Cases? A Demo
• [CMU Database Group 2022] ApertureDB: Designing a Purpose-built System for Visual Data and Data Science

Github

• Our Python client repository

Academic Papers

• [Very Large Data Bases 2021 (VLDB 21)] Using VDMS to Index and Search 100M Images
• [Workshop on Systems for Machine Learning at NIPS 2018] VDMS: An Efficient Big-Visual-Data Access for Machine Learning Workloads
• [Workshop on HotStorage at USENIX ATC 2017] Addressing the Dark Side of Vision Research: Storage