Our platform gives access to various computer vision tasks from the best providers:
Image embeddings involves converting images into numerical representations, enabling computers to understand and manipulate visual information for tasks such as recognition and similarity analysis.
Background removal involves separating the primary object in an image by removing the initial background, frequently for the intent of designing a customized or transparent background.
.webp)
Visual Question Answering (VQA) is a task that involves answering questions about the content of an image using a combination of computer vision and natural language processing.
.webp)
Also known as Face Similarity, AI Face Comparison uses AI to compare and identify faces by analyzing and comparing patterns and features in digital images.
Image Face Detection makes it possible to recognize one or more faces in an image and to associate characteristics such as age, gender, emotion, etc. to it.
Face Recognition uses artificial intelligence and machine learning algorithms to compare an input face to a database of stored faces to determine if there is a match.
Object Detection makes it possible to identify and locate common objects in an image.
Explicit Content Detection makes it possible to detect explicit (NSFW) content in images for moderation and control purposes: violence, pornography, etc.
Landmark Detection can detect popular, natural and human-made structures within an image.
Logo Detection is a Computer Vision Technology that can detect popular logos within an image.
Image Anonymization is capable of detecting faces or objects in photos and applying a gaussian blur to the result to ensure privacy.
Similarity Search allows you to search for similar or related images by using an existing image as a reference. The model works by scanning through an index for similar images and provides you with results that match or resemble the original image.
.webp)
AutoML (Automated Machine Learning) for image classification is a technology that automates the process of building, training, and deploying machine learning models specifically designed for image recognition tasks.
AI Image Detector involves identifying images that have been created or altered by artificial intelligence rather than by humans. This technology analyzes images for specific patterns, artifacts, or inconsistencies that are indicative of AI-generated content, ensuring the authenticity and integrity of visual data in applications such as digital media verification, intellectual property protection, and combating misinformation.
"I have been using Eden AI's explicit content detection feature for the past few months and have been extremely satisfied with the results. The feature is incredibly accurate and has helped me ensure that my content adheres to industry standards and guidelines. I highly recommend Eden AI's explicit content detection feature to anyone in need of fast and reliable content moderation services."
-modified-modified.png)
Sofia T.
Product owner
You can directly start building now. If you have any questions, feel free to schedule a call with us!
Get startedContact salesDrop your email and we'll get back to you ASAP to answer any questions you have or just to say hi —we promise not to spam you!
-p-500.webp){kind=small}
-p-500.webp){kind=small}
