What is Clarifai API?

Clarifai is a comprehensive AI platform that specializes in unstructured data, offering a suite of powerful APIs for computer vision, natural language processing (NLP), and audio recognition. It provides an end-to-end solution for the entire AI lifecycle, from data labeling and training to model deployment and management. The platform is designed to help developers and businesses build sophisticated AI-powered applications without needing deep machine learning expertise. It can analyze images, videos, and text to identify objects, faces, concepts, and moderate content.

Key Features

Computer Vision: Advanced capabilities for image and video analysis, including object detection, facial recognition, visual search, and content moderation.
Natural Language Processing (NLP): Tools for text classification, sentiment analysis, and language translation.
Audio Recognition: APIs to transcribe and understand spoken content from audio files.
Model Gallery: Access to a wide range of pre-trained models for various tasks, ready to be used out-of-the-box.
Custom Training: Ability to train custom models on your own data to solve specific problems.
Full AI Lifecycle Management: A unified platform that supports data annotation, model creation, evaluation, and deployment (MLOps).

Use Cases

Content Moderation: Automatically flag inappropriate or unsafe content (NSFW, violence, hate speech) in images and videos on social media platforms and online communities.
Retail and E-commerce: Implement visual search to allow customers to find products using images, and use automated tagging to organize product catalogs.
Security and Surveillance: Analyze video feeds in real-time to detect unauthorized individuals, objects, or specific activities.
Media and Entertainment: Automatically generate tags and metadata for large archives of images and videos, making them easily searchable.
Healthcare: Assist in analyzing medical images to identify anomalies or patterns.

Getting Started

Here’s a simple “Hello World” example using Clarifai’s Python client to perform image recognition on a remote image.

First, install the client library: ```bash pip install clarifai

Next, set up your Personal Access Token (PAT) as an environment variable. You can get this from your Clarifai account.

```python import os from clarifai.client.model import Model

Set your Clarifai PAT as an environment variable

os.environ[‘CLARIFAI_PAT’] = “YOUR_PAT_HERE”

The URL of the image you want to analyze

IMAGE_URL = “https://samples.clarifai.com/metro-north.jpg”

Initialize the General model

model = Model(“https://clarifai.com/clarifai/main/models/general-image-recognition”)

Predict concepts in the image

response = model.predict_by_url(url=IMAGE_URL, input_type=”image”)

Print the top 5 predicted concepts

concepts = response.outputs[0].data.concepts for i, concept in enumerate(concepts[:5]): print(f”{i+1}. {concept.name}: {concept.value:.2f}”)

This script will output a list of concepts detected in the image, along with their confidence scores. For example:

train: 0.99
railway: 0.98
station: 0.98
transportation system: 0.97
travel: 0.96

Pricing

Clarifai operates on a Freemium model. It offers a generous free tier for developers to get started, which includes a certain number of free operations per month. For higher usage and enterprise needs, it provides several paid subscription plans that scale based on the volume of API calls, custom model training requirements, and additional features like dedicated support.

Clarifai API