Piktochart
Canva
PicMonkey
Marq
Adobe Photoshop
Sketch
Adobe Illustrator
VistaCreate
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Piktochart is an infographic tool to help you present your presentations, pitches, proposals, data visualizations, charts, timelines, structure, process related visuals and diagrams in a compelling way.
Piktochart Scikit ImagePiktochart is recommended for educators, marketers, small businesses, and non-profit organizations that need to communicate information effectively through visual content. It is also suitable for individuals looking to create professional presentations, reports, or infographics for personal or professional projects.
Based on our record, Scikit Image should be more popular than Piktochart. 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.
Piktochart: Piktochart is another powerful tool for infographic creation, offering a range of customizable templates and easy-to-use design features. It provides an intuitive interface for adding charts, maps, icons, and more. - Source: dev.to / almost 3 years ago
Frontend Tech Lead, Senior Frontend Developer | Remote in Europe | 4-day work week SaaS |Visual communications app https://piktochart.com/ Here's a little information about our culture. - Source: Hacker News / almost 5 years ago
Picktochart - Data visualizations are always helpful when you're trying to communicate certain aspects of product usage in relation to something else. - Source: dev.to / over 5 years ago
Piktochart is a graphic design platform helping brands deliver visually appealing content. With Piktochart, one can create beautiful infographics, on-point presentations, as well as easily digestible reports. Source: over 5 years 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 / over 2 years 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 / over 2 years 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 3 years 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: almost 4 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 4 years ago
Canva - Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.
OpenCV - OpenCV is the world's biggest computer vision library
PicMonkey - PicMonkey is a feature-rich online photo editor that works right in your browser; no downloads...
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Marq - Marq (formerly Lucidpress) is a web-based design and layout application that enables anyone to create beautiful creatives
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
