ReductStore
Minio
InfluxData
Prometheus
MongoDB
Amazon S3
PostgreSQL
MySQL
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
SimpleCV
Microsoft Video API
Clarifai
Google Vision AI
ReductStore is a high-throughput, time-series object store optimized for edge computing and AI/ML workflows, delivering tailored solutions for managing sequential data efficiently at scale.
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ReductStore's answer
ReductStore is a time series database that is specifically designed for storing and managing large amounts of blob data. It boasts high performance for both writing and real-time querying, with the added benefit of batching data.
ReductStore's answer
Rust, tokio, axios
ReductStore's answer
ReductStore offers better performance and provides a retention policy based on disk usage and conditional append-only replication for your data reduction strategy.
ReductStore's answer
Edge computing, computer vision, and IoT engineers
ReductStore is an excellent choice for anyone looking for a powerful and reliable time series database for binary data. The user-friendly HTTP API makes it easy to work with, and the focus on edge computing ensures that data is always available when you need it. The ability to filter records using labels makes it easy to find the data you need quickly.
Based on our record, Scikit Image should be more popular than ReductStore. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
ReductStore is a specialized time-series database designed for blob data, optimized for edge computing, computer vision, and IoT applications. - Source: dev.to / 4 months ago
When seeking an on-premise alternative to LandingEdge for sophisticated edge computing and computer vision tasks, ReductStore emerges as a compelling solution. This Time-Series Database is tailored for Blob Data, emphasizing optimizations that cater to the unique demands of Edge Computing, IoT, and Computer Vision applications. - Source: dev.to / 6 months ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / about 1 month ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 6 months ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 1 year ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: over 1 year ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 2 years ago
Minio - Minio is an open-source minimal cloud storage server.
OpenCV - OpenCV is the world's biggest computer vision library
InfluxData - Scalable datastore for metrics, events, and real-time analytics.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Prometheus - An open-source systems monitoring and alerting toolkit.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
