Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and images. It functions as a dataset version control system and a machine learning data streaming engine to support large-scale model training. The system utilizes a serverless PostgreSQL vector store to index high-dimensional embeddings for semantic search. It provides a visual interface for inspecting multimodal datasets and viewing annotations such as bounding boxes and masks. The platform handles cloud-agnostic storage synchronization and implements lazy, compressed data strea
AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs.
A Python library for working with STAC Catalogs via Pandas DataFrames
This is an Intake data source for SpatioTemporal Asset Catalogs (STAC). The STAC specification provides a common metadata specification, API, and catalog format to describe geospatial assets, so they can more easily indexed and discovered. A 'spatiotemporal asset' is any file that represents…
Die Hauptfunktionen von intake/intake-stac sind: Datenmanagement, Data Management and Catalogues.
Open-Source-Alternativen zu intake/intake-stac sind unter anderem: azavea/stacframes — A Python library for working with STAC Catalogs via Pandas DataFrames. cholmes/pdd-stac — This repo contains a work in progress example of a Planet Disaster Data 'catalog' with STAC Items, as well as html /… addresscloud/aws-lambda-docker-rasterio — AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs. azavea/franklin — A STAC/OGC API Features Web Service. activeloopai/hub — Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and… developmentseed/sat-api-pg — sat-api-pg OpenAPI Docs.
