Software Alternatives, Accelerators & Startups

Shutterstock VS TensorFlow

Compare Shutterstock VS TensorFlow and see what are their differences

Shutterstock logo Shutterstock

Shutterstock is a provider of stock photos, illustrations, and vector art. The website allows individuals to purchase a subscription and download copyrighted art for creative projects. Read more about Shutterstock.

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • Shutterstock Landing page
    Landing page //
    2023-09-20
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Shutterstock features and specs

  • Large Library
    Shutterstock offers millions of high-quality images, videos, and music tracks, providing a diverse and extensive selection for users.
  • Search Functionality
    Advanced search and filtering options make it easy to find exactly what you're looking for quickly.
  • Flexible Pricing Plans
    A variety of subscription plans and on-demand options allow users to select a payment method that fits their budget and needs.
  • High-Quality Content
    Stringent quality controls ensure that users have access to professional and high-resolution media.
  • Royalty-Free License
    All content is royalty-free, providing users with the peace of mind of knowing they can use the media without ongoing costs.
  • User-Friendly Interface
    The platform is designed to be intuitive and easy to navigate, even for those who are not tech-savvy.
  • API Access
    Shutterstock provides API access for businesses that need to integrate media directly into their own applications.

Possible disadvantages of Shutterstock

  • Cost
    Shutterstock can be relatively expensive, especially for individuals or small businesses with limited budgets.
  • Subscription Limitations
    Some subscription plans have limits on the number of downloads per month, which can be restrictive for high-demand users.
  • Stock Feel
    Some users feel that the images and videos can have a 'stock' or generic appearance, which may not suit all creative projects.
  • Watermarked Previews
    Previews of media assets have watermarks, making it difficult to fully assess an image's suitability before purchase.
  • Occasional Inconsistency
    Despite quality controls, there can be occasional inconsistency in the quality of available media.
  • Overused Content
    Popular images and videos may be widely used across multiple platforms, reducing originality in projects.
  • Complex Licensing for Commercial Use
    While content is royalty-free, licensing terms for commercial use can sometimes be complex and require careful review.

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

Analysis of Shutterstock

Overall verdict

  • Yes, Shutterstock is considered a good resource for individuals and businesses seeking diverse and quality digital media assets.

Why this product is good

  • Shutterstock provides a vast collection of high-quality images, videos, and music tracks, catering to a wide range of creative and commercial needs. It offers flexible licensing options and easy-to-use tools for editing and customizing content. The platform is known for its reliability and the comprehensiveness of its library.

Recommended for

  • Graphic designers looking for stock images and vectors.
  • Content creators needing royalty-free music and video clips.
  • Marketing professionals seeking visuals for campaigns.
  • Web developers requiring images for websites and mobile apps.
  • Businesses of all sizes in need of customizable and scalable media solutions.

Shutterstock videos

How Much Money Can You Make on SHUTTERSTOCK in Your First Year? Earnings, Best Sellers, and Thoughts

More videos:

  • Review - Stock Photography for Beginners | Is Shutterstock Worth it in 2020?
  • Tutorial - Shutterstock Contributor Tutorial and Tips for Beginners

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Shutterstock and TensorFlow)
Image Marketplace
100 100%
0% 0
Data Science And Machine Learning
Photos & Graphics
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Shutterstock and TensorFlow

Shutterstock Reviews

12 Best Sites Like Freepik For Downloading Photos
You must have heard of Shutterstock before and if not, itโ€™s high time that we make it familiar to you. Headquartered in New York, Shutterstock is one of the biggest such websites out there. More than 1 million users worldwide share their content on the platform. More than 1 billion images, video clips, and music tracks have been downloaded through the platform. Also, stock...
Source: www.devdude.com
The best Freepik alternatives 2023
Shutterstock provides over 400 million stock images compared to Freepikโ€™s 41 million. It also offers more advanced features, flexible licensing options, and higher maximum image resolutions. The drawback is that Shutterstock is more expensive. But with its vastly larger library and premium features, it can be worth it for professional needs.
Source: photutorial.com
The Complete List of Video Marketing Tools (Updated for 2022)
Shutterstock is arguably the largest stock-anything site with more than 14 million stock footage, music, and images available in their library. If you know youโ€™re going to need many stock content, you canโ€™t go wrong with Shutterstock.

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by Franรงois Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmindโ€™s Acme framework is implemented in TensorFlow. OpenAIโ€™s Baselines model repository is also implemented in TensorFlow, although OpenAIโ€™s Gym can be...

Social recommendations and mentions

Based on our record, Shutterstock should be more popular than TensorFlow. It has been mentiond 19 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.

Shutterstock mentions (19)

  • [HELP!] I need your feedback about my creations!
    Other reputable places to sell vector artwork online are shutterstock.com, and stock.adobe.com Each will have their own requirements and tutorials for submitting artwork. You can also start your own page on Etsy.com. Source: over 2 years ago
  • I just started my first freelance job. Am I expected to source my own stock photos or do I ask?
    "Freelance" means, "You're on your own, kid." However, all of the things you ask are possible--access to your client's assets, buy your own and bill them, source free images. shutterstock.com is one of my favorites. I was searching for free/royalty free images endlessly until I just bought a monthly subscription. The time savings makes up for the time spent scouring the internet. Good luck and have fun!... Source: over 3 years ago
  • "you coolio" is too offensive i guess
    Just found out the image had "shutterstock.com" on it. Source: over 3 years ago
  • Y2K Aesthetic - how do I create a Y2K computer browser?!
    Go to shutterstock.com and type in these exact keywords. Vaporwave, windows 98, y2k computer browser. You should get a ton of vector assets that will help cut your design time in half. Source: over 3 years ago
  • Where to find graphics like blood splatter, dirt, lightning etc. for use in photoshop?
    Look for royalty-free images. You may try shutterstock.com if you need more and are ok to make a subscription or unsplash.com if you want free images. Moreover you may try deviantart.com or google search for blood splatter. Source: almost 4 years ago
View more

TensorFlow mentions (8)

  • Why 70% of Americans See AI as a Wealth Inequality Machine: The Developer's Role in Building Fairer Tech
    The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 4 months ago
  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 4 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
View more

What are some alternatives?

When comparing Shutterstock and TensorFlow, you can also consider the following products

Adobe stock - Search Adobe Stock for millions of royalty-free stock images, photos, graphics, vectors, video footage and more. Try risk-free today. Homepage - Buy this stock .

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Depositphotos - Depositphotos offers you over 50,000,000 stock photos and vector illustrations for as low as...

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Pexels - Find the best free stock images about Browser Home Page. Download all photos and use them even for commercial projects.

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.