AI Object Detection that understands context
Our AI object and scene recognition lets you detect objects, scenes, and environments in images and video — fast, accurate, and customizable. This lets you turn unstructured visual data into actionable insight without complex training or coding.
object and scene recognition
Recognize what matters — at scale
DeepVA’s AI object detection model recognizes over 1,500 objects and scenes out of the box — from everyday items to complex environments. It supports both still images and video object detection, generating rich metadata that makes archiving, searching, and analyzing visual media faster and smarter.
But we don’t stop at pre-trained models:
Using DeepVA’s custom dictionary feature, you can extend the model’s vocabulary to include terms specific to your industry, project, or organization — without retraining the model or diving into machine learning complexity. This gives you all the flexibility of ai object recognition with none of the setup hassle.
The benefits of choosing us
Recognition of over 1,500 pre-trained objects and scenes
The AI recognizes a wide range of objects and scenes—from general to specific categories—enabling accurate classification and archiving of visual content.
Customizable models through user-defined dictionaries
Create your own dictionaries and integrate them into object recognition to meet specific requirements and industry standards.
Automatic generation of metadata for archives
Automatic tagging of images and videos makes archiving and finding content much easier.
Object and Scene Recognition module is part of our Deep Media Analyzer application. Check it out now:
What you’ll get
Here’s what the Object & Scene Recognition function delivers out of the box — ready to integrate into your workflows:
Recognized objects & scenes
Ready-to use identification of several thousand standard tags — from “laptop” to “urban street” to “kitchen counter.”
Confidence scores
Each detection is backed by a confidence value, helping your team gauge accuracy and set thresholds that suit your needs.
Automate timecoded metadata and tagging
Speed up frame-exact annotation and metadata labelling by segmenting or clustering videos and images based on objects and scenes.
Customisation using dictionaries
Use custom dictionaries to adapt the function to your specific use case. It focuses on the tags you provide, allowing you to extend or refine existing taxonomies seamlessly.
Basis for composite AI functions
In order to build composite AI workflows, the metadata from various functions can be used to provide deeper semantic content analysis.
Practical Applications
Object & Scene Recognition use cases
Real-world success stories
Vidispine
With the help of DeepVA, the user can intuitively and easily create and manage training data directly in the media asset management system (MAM).
frequently asked questions
Have a question? We’ve got answers
What objects and scenes can the AI recognize?
The pre-trained models recognize over 1,500 different objects and scenes, ranging from general to specific categories.
Can I train the AI to recognize my own objects?
It is not possible to train the AI to recognize your own objects, but many use cases can already be implemented using custom dictionaries.
Can I add my own categories for recognition?
Is your service GDPR compliant?
Yes, DeepVA is fully GDPR compliant. We take data protection and privacy seriously and ensure that all personal data is processed in accordance with GDPR regulations.
How is my data handled? Does the AI learn from my data?
You have full control over your data on our AI platform, ensuring it remains secure and compliant. By default, we do not use your data to train our models, keeping it proprietary. However, you have the option to train models using your data, and in that case, it will remain exclusive to your organization.
What type of data do you store?
By default, we do not process your data beyond what is required to provide our services. If additional processing is necessary, it will only occur as outlined in your instructions or where legally required. For example, data may be transferred or processed as needed to fulfill service requirements, always in alignment with our agreements.
To learn more about how we process data and the safeguards in place, please refer to our Data Processing Agreement.
