Brand Recognition with api4ai API

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Brand Recognition with the api4ai API

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Overview#

⭐️ Brand Recognition – is a ready-to-Use solution for the identification of thousands of brand marks and logos within images.

Brand Recognition provides AI-powered image processing designed for analyzing the presence of brands in the pictures.

brands

✅ The algorithm recognizes brand marks and logos, returning a JSON with the elements found in the image. One of the core features of our technology is that it usually does not require any additional actions to begin supporting a new logo, unlike most other solutions for logo detection.
✅ This solution provides out-of-the-box support for an extensive range of brands, encompassing a vast array of logos and trademarks. Furthermore, it incorporates advanced, sophisticated logic designed to automatically identify unknown ones.

🤖 Demo

Explore the Brand Recognition Web demo for free before delving into the details (no registration is required): https://api4.ai/apis/brand-recognition#demo-wrapper

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Getting Started#

Create a workflow to Brand Recognition with the api4ai API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Brand Recognition action
1. Connect your api4ai account
2. Configure alert
3. Configure Image
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Brand Recognition with api4ai API on New Requests (Payload Only) from HTTP / Webhook API

HTTP / Webhook + api4ai

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Brand Recognition with api4ai API on New Submission from Typeform API

Typeform + api4ai

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Brand Recognition with api4ai API on New Submission (Instant) from Jotform API

Jotform + api4ai

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Brand Recognition with api4ai API on New Scheduled Tasks from Pipedream API

Pipedream + api4ai

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Brand Recognition with api4ai API on npm Download Counts from npm API

npm + api4ai

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Details#

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Brand Recognition on api4ai

Description:The service processes input image and responds with a list of found brand logos. Powered by API4AI.

Version:0.0.1

Key:api4ai-brand-recognition

View on GitHub

Code#

import app from "../../api4ai.app.mjs";
import { retryWithExponentialBackoff } from "../../common/utils.mjs";

export default {
  name: "Brand Recognition",
  description: "The service processes input image and responds with a list of found brand logos. Powered by API4AI.",
  key: "api4ai-brand-recognition",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    alert: {
      type: "alert",
      alertType: "info",
      content: "Subscribe to [API4AI Brand Recognition](https://rapidapi.com/api4ai-api4ai-default/api/brand-recognition/pricing) on the RapidAPI hub before you start using it.",
    },
    image: {
      propDefinition: [
        app,
        "image",
      ],
    },
  },
  async run({ $ }) {
    // Initialize output.
    let summary = "";
    let brands = "";

    // Perform request and parse results.
    const cb = () =>
      this.app.makeRequest(
        $,
        "https://brand-recognition.p.rapidapi.com/v2/results",
        this.image,
      );
    const response = await retryWithExponentialBackoff(cb);
    const isOk = response?.results?.[0]?.status?.code === "ok";
    summary = response?.results?.[0]?.status?.message || JSON.stringify(response);
    if (isOk) {
      brands = response.results[0].entities[0].strings;
    }
    else {
      throw new Error(summary);
    }

    $.export("$summary", summary);
    $.export("brands", brands);
  },
};

Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
api4ai	`app`	`app`	This component uses the api4ai app.
Image	`image`	`string`	Input image. Various types are accepted: a path to a file a URL to a file a file's content encoded as a base64 string a file's content as a Buffer encoded in JSON a file's content as an Array of bytes

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