Likelihood to Recommend Amazon Rekognition is well suited for all image and videos analysis. Also, deep learning projects for image and video can easily be done using this. It is very easy to use so a beginner can also use it.
Read full review As a Data Analyst, it is my job to analyze large datasets using complex mathematical models. Anaconda provides a one-stop destination with tools like PyCharm, Jupyter, Spyder, and RStudio. One case where it is well suited is for someone who has just started his/her career in this field. The ability to install Anaconda requires zero to little skills and its UI is a lot easier for a beginner to try. On the other hand, for a professional, its ability to handle large data sets could be improved. From my experience, it has happened a lot that the system would crash with big files.
Read full review Pros Image tagging is very good. Object detection is precise. Video tagging has become very easy using Rekognition. Read full review It provides easy access to software like Jupyter, Spyder, R and QT Console etc. Easy installation of Anaconda even without much technical knowledge. Easy to navigate through files in Jupyter and also to install new libraries. R Studio in Anaconda is easy to use for complex machine learning algorithms. Read full review Cons The cost is bit more for small scale companies. For text processing, OCR is not available in amazon rekognition. Only facial search is available in image search. Read full review Although I have generally had positive experiences with Anaconda, I have had trouble installing specific python libraries. I tried to remedy the solution by updating other packages, but in the end, things got really messed up, and I ended up having to uninstall and reinstall a total of about 4 times over the past 2 years. If you have the free version of Anaconda, there is not much support. Googling questions and error messages are helpful, but there were times when I wished I would have been able to ask technical support to help me troubleshoot issues. There were a few times when I tried to install tensorflow and tensorboard via Anaconda on a PC, but I could not get them to install properly. Anaconda allows you to create 'environments' , which allow you to install specific versions of python and associated libraries. You can keep your environments separate so they do not conflict with one another. Anyway, I ended up having to create several 'conda envrionments' just so I could use tensforflow/tensorboard and a few other utilities to avoid errors. This was somewhat annoying, because every time I wanted to run a specific model, I'd have to open up the specific conda environment with the appropriate python libraries. Read full review Likelihood to Renew It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Read full review Usability Very much suitable for many applications where the image processing features are secondary and independent of any domain. This makes it a general solution and the recognition features are returned in a JSON object in response to the API called made which is a very simple process.
Read full review The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.
Read full review Support Rating Support of Amazon is great. So far we are having a great experience using it.
Read full review Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
Read full review Alternatives Considered It's easy to implement and its documentation is great compared to CNTK.
Read full review ANACONDA VS
Alteryx Analytics : Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics. Anaconda VS.
MicroStrategy Analytics : Compared with Anaconda,
MicroStrategy Analytics is very difficult to use and counter-intuitive Anaconda VS.
Power BI For Office 365 : One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Read full review Return on Investment The best thing it made our work fast. It reduces the chance of failure of a project which is based on image or video processing. We can assign anyone in our team to work on this as it very easy to use. Read full review Positive: Lower maintenance cost compared to other tools on the market Positive: Ease in hiring professionals already accustomed to the tool in the job market Positive: Projects are portable, allowing you to share projects with others and execute projects on different platforms, reducing deployment costs Read full review ScreenShots