We have data on 66 companies that use Caffe. The companies using Caffe are most often found in United States and in the Higher Education industry. Caffe is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Caffe usage goes back as far as 10 months.
If you’re interested in the companies that use Caffe, you may want to check out Google Translate API and Keras as well.
Company | International Business Machines Corporation |
Website | ibm.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Progyny |
Website | progyny.com |
Country | United States |
Revenue | 200M-1000M |
Company Size | 200-500 |
Company | Microsoft |
Website | microsoft.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Palo Alto Networks Inc |
Website | paloaltonetworks.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | University of Kansas |
Website | ku.edu |
Country | United States |
Revenue | 200M-1000M |
Company Size | 5000-10000 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
International Business Machines Corporation | ibm.com | United States | >1000M | >10000 |
Progyny | progyny.com | United States | 200M-1000M | 200-500 |
Microsoft | microsoft.com | United States | >1000M | >10000 |
Palo Alto Networks Inc | paloaltonetworks.com | United States | >1000M | >10000 |
University of Kansas | ku.edu | United States | 200M-1000M | 5000-10000 |
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Deep Learning. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Deep Learning category, Caffe has a market share of about 0.1%. Other major and competing products in this category include:
Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework that supports many different types of deep learning architectures geared towards image classification and image segmentation. It supports CNN, RCNN, LSTM and fully-connected neural network designs. It also supports GPU- and CPU-based acceleration computational kernel libraries such as Nvidia cuDNN and Intel MKL.
Looking at Caffe customers by industry, we find that Higher Education (15%), Information Technology and Services (12%) and Computer Software (11%) are the largest segments.
62% of Caffe customers are in United States.
Of all the customers that are using Caffe, a majority (64%) are large (>1000 employees), 10% are small (<50 employees) and 14% are medium-sized.
Of all the customers that are using Caffe, a majority (64%) are large (>$1000M), 20% are small (<$50M) and 0% are medium-sized.