
Dropbox
Google Drive
Box
Mega
Microsoft OneDrive
pCloud
ownCloud
WeTransfer
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Dropbox
Scikit ImageIt's much more convenient than GoogleDrive. I frequently use it to share my projects on freelance platforms. This is reliable cloud storage with many features
Based on our record, Dropbox should be more popular than Scikit Image. It has been mentiond 28 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.
Even better: upload an example Excel file to a file-sharing website (box.net/files, dropbox.com, onedrive.live.com, etc), and post a download link that does not require that we log in. Source: over 2 years ago
Note that Dropbox automatically backs up all your files. So if you delete a file, you can recover it on dropbox.com, even 6 months later. Source: about 3 years ago
Upload what is on that stick to a cloud based system that is not vulnerable to degradation of hardware, you can get a lot of storage for free on sites like dropbox.com, mega.nz, or icloud. You can also always make multiple backups. Source: about 3 years ago
Did you try logging into dropbox.com and checking there? Often the files remain online even if they are removed locallY. You have to log in with the same account you deleted Locally. Source: about 3 years ago
Dropbox: You absolutely NEED backups. Ideally, both physical and cloud backups, because if you only have one backup, you're not backed up. I can't even begin to tell you how many writers have lost days, weeks, or even entire novels worth of work because they failed to back up their work, then had their computer break or had some weird software snafu. Dropbox is my preferred cloud backup solution, because you can... Source: about 3 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
Google Drive - Access and sync your files anywhere
OpenCV - OpenCV is the world's biggest computer vision library
Box - Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Mega - Secure File Storage and collaboration
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.