Recognize, Detect, Segment, and Moderate Your Images with a Single API! ??

Welcome to the?AI in 5?newsletter with Clarifai!

Every week we bring you new models, tools, and tips to build production-ready AI!

Here is the summary of what we will be covering this week: ??

• Popular Image Models from the Clarifai Community: Image Recognition, Segmentation, Moderation and Detection.
• Auto Annotate your data with a single-click tutorial
• Digital Asset Management and Personalization with AI webinar
• New Patch operations for apps, datasets, input annotations, and concepts using Python SDK.
• Tip of the week: Upload Videos using the Python SDK.

Access Popular Image Models from the Community ??

General Image Recognition: Identifies a variety of concepts in images and videos, including objects, themes, and more. Trained with over 10,000 concepts and 20 million images.

This model is a great all-purpose solution for most visual recognition needs.?

General Image Detection:?Unlike image classification, which assigns a single label or category to the entire image, visual detection provides more detailed information by detecting and outlining multiple objects or regions within the image.

The General Image Detection model detects a variety of common objects and their locations, generating regions in an image that may contain those objects.?

General Image Segmentation: Segmentation involves labeling individual pixels based on shared characteristics. It’s commonly used to locate objects and boundaries in images, creating segments that cover the entire image or extract contours.

This?model identifies different objects in an image or video at pixel level accuracy.

Image Moderation: The Image Moderation model recognizes inappropriate content in images and videos, including concepts such as gore, drugs, explicit material, suggestive content, and safe content.

You can use this model for content moderation to manage user-generated content (UGC) imagery.?

You can find the models in the community here. Try them out, or easily access them via an API to integrate into your applications!

Auto Annotation tutorial ??

Learn how to Auto Annotate your image datasets with a single click, regardless of their size, using the Clarifai Platform.

The platform now supports the new Auto Annotation feature, allowing you to leverage machine learning models and workflows from the community to automatically annotate your data.

Check out the tutorial below??

Auto Annotation

Webinar Recording: DAM ?

Yesterday, we hosted a webinar on Digital Asset Management and Personalization with AI.

If you missed it, don’t worry! You can access the recording below and learn more on how to:

• Overcome common challenges in content organization and personalization
• Easily tag, enrich, organize, and search all your unstructured data
• Generate new content efficiently

Find the recording below ??

Digital Asset Management and Personalization with AI

New Patch Operations using Python SDK:?

Patch operations have been introduced for apps, datasets, input annotations, and concepts.

You can use the Python SDK to either?merge,?remove, or?overwrite?your input annotations, datasets, apps, and concepts.

Below is an example of performing a patch operation on a dataset where we have updated the dataset's description and notes.

Learn more about the Patch Operations here.

Tip of the week: ??

?Upload Videos using the Python SDK

You can upload video data via URLs, local file paths, or as byte streams. The API supports all these formats seamlessly.

Below is an example of uploading the video file to the Clarifai App. Check out the code here.

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