---
title: AI Image Landmark Detection API
slug: detect-landmarks
url: https://apyverse.com/apyhub/service/detect-landmarks
provider: ApyHub
categories: [Geolocation, Image Processing]
auth: api_key
---

# AI Image Landmark Detection API

Detect landmarks from an image URL or file upload. Returns provider-specific results from ApyHub, Azure, or Google for vision workflows.

## Endpoints

| Method | Path | Description | Atoms |
| --- | --- | --- | --- |
| POST | `ai/image/detect/landmark/url` | What it does Detects landmarks from an image URL. The request sends a url and can optionally includ… | 500 |
| POST | `ai/image/detect/landmark/file` | What it does Uploads an image file and runs landmark detection. The response is a JSON object with… | 500 |

## About

## What it does
Landmark Detection identifies landmarks in an image and returns detection results from your chosen vision provider. Send either an image URL or a file upload, and choose `requested_service` to route the request to `apyhub`, `azure`, or `google`.

Use the `/url` endpoint when the image is already hosted online, or `/file` when you want to upload a local image. The URL-based endpoint also accepts provider-specific credentials inside `azure` or `google` objects when you need to supply your own Azure or Google configuration. The file upload endpoint supports `azure_key`, `google_key`, `azure_region`, `azure_endpoint`, `azure_account_id`, and `azure_access_token` alongside the uploaded `file`.

The response is returned under `data`, with separate objects for `azure`, `apyhub`, and `google`. That makes it easy to compare provider output or keep a single integration point while switching backends later.

Use Landmark Detection for photo apps, travel experiences, media tagging, or any workflow that needs to recognize places from images without building and maintaining your own computer vision pipeline.

## Usage

Authenticate with an ApyHub API key in the `apy-token` header.
Full docs and a live playground: https://apyverse.com/apyhub/service/detect-landmarks