Sold by: SensifaiÂ
Overview
Sensifai offers automatic video recognition and tagging. For example, our basic software recognizes thousands and thousands of objects/scenes and concepts in videos such as cars, foods, events, and animals. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of concepts and tags by providing the required training dataset.
Highlights
- Sensifai's basic video recognition system covers thousands of concepts (this software is accessible through AWS marketplace). However, customers and users often deal with a new set of concepts and objects. Therefore, we have designed an easy-to-use interface which automates the process of training a video recognition and tagging system.
- You can use Sensifai's interface through Sagemaker to develop a video tagging system that covers your set of concepts for your own specific use-case. Provide a training dataset and create your own video recognition system immediately.
- If you do not have dataset for training or looking for pre-trained models for video recognition/tagging or other domains of video/image analysis, you can check our ready to use API or contact us directly (sales@sensifai.com).
Details
Sold by
Delivery method
Latest version
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 2 days according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.p3.8xlarge Inference (Batch) Recommended | Model inference on the ml.p3.8xlarge instance type, batch mode | $3.60 |
ml.p3.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.p3.2xlarge instance type, real-time mode | $3.60 |
ml.p3.16xlarge Training Recommended | Algorithm training on the ml.p3.16xlarge instance type | $2.00 |
ml.p2.xlarge Inference (Batch) | Model inference on the ml.p2.xlarge instance type, batch mode | $3.60 |
ml.p2.8xlarge Inference (Batch) | Model inference on the ml.p2.8xlarge instance type, batch mode | $3.60 |
ml.p2.16xlarge Inference (Batch) | Model inference on the ml.p2.16xlarge instance type, batch mode | $3.60 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $3.60 |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $3.60 |
ml.p2.xlarge Inference (Real-Time) | Model inference on the ml.p2.xlarge instance type, real-time mode | $3.60 |
ml.p2.xlarge Training | Algorithm training on the ml.p2.xlarge instance type | $0.10 |
Vendor refund policy
You may cancel your subscription at any time; However, we will not refund payments made by you under the agreement for any reason whatsoever.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Amazon SageMaker algorithm
An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Video recognition and tagging.
Additional details
Inputs
- Summary
Usage
See example notebook for python example usage.
Input file for training
Supported content type: application/csv sample Input FileÂ
output file for inference
Content type: application/json
{ "results": { "0_3": { "fashion": 0.43814790310959023, "street": 0.13556109399845204, "boat": 0.1322616363565127, "landscape": 0.12047869836290677, "plant": 0.05819464148953557 }, "3_6": { "landscape": 0.15871494760115942, "flower": 0.0617401289443175, "person": 0.04244872368872166, "furniture": 0.025804220388333004, "food": 0.02338200978313883 }, "6_9": { "fashion": 0.24687933184516928, "landscape": 0.10122950685520966, "sports": 0.04701390350237489, "boat": 0.04420651510978738, "flower": 0.042979598976671696 } } }
- Input MIME type
- video/*
See Input Summary
See Input Summary
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Trainable Algorithm for Automatic recognition of sports in video
Object Detection on videos for offline processing and caption creation
Secure, Simple and Scalable Video Conferences. A Zoom alternative, Jitsi Meet is an open-source (Apache) WebRTC JavaScript application that uses Jitsi Videobridge to provide high quality, secure and scalable video conferences.
Callaba, an award-winning solution, provides high-level cloud-based NDI®, SRT, accessible from any location, enabling broadcasters to enhance content while reducing costs and environmental impact. Built for both cloud and hybrid setups, Callaba adapts smoothly to changing production demands.
Whether you're using it in the cloud or on-premises, Callaba allows you to leverage your best talent, integrate unlimited NDI® sources for interactive content, lower travel costs, and easily scale production capacity to meet short-term or long-term needs.
Get the best and most advanced technologies for cloud video production, online conferencing, content delivery, monetization, and video streaming API - all with just one subscription. A complete solution for live and on-demand video, Callaba offers a professional suite for online events and internet broadcasting through a simple UI.
DeepField-SR is a fixed functional hardware accelerator leveraging FPGA to offer the highest computational efficiency for Video Super Resolution.
Streamline your media operations with our AWS experts-led professional services
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.