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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.
PySTAC is a library for working with the SpatioTemporal Asset Catalog specification in Python 3.
The main features of stac-utils/pystac are: Remote Sensing and Earth Observation, Data Management, Data Management and Catalogues.
Open-source alternatives to stac-utils/pystac include: geospatial-jeff/aiocogeo — ``` pip install aiocogeo. 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… azavea/stacframes — A Python library for working with STAC Catalogs via Pandas DataFrames.
