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+---
+title: "Downloading Images from VFB Using VFBconnect"
+linkTitle: "Downloading Images via API"
+weight: 5
+description: >
+  This guide will show you how to use VFBconnect to download images from the Virtual Fly Brain (VFB) based on a dataset.
+---
+
+## Introduction
+
+VFBconnect is a Python package that provides an interface to the Virtual Fly Brain (VFB) API. It allows users to query the VFB database and download data, including images.
+
+## Installation
+
+Before you can use VFBconnect, you need to install it. You can do this using pip:
+
+\`\`\`bash
+pip install vfb-connect
+\`\`\`
+
+## Downloading Images
+
+To download images from VFB using VFBconnect, you need to first import the package and create a client:
+
+\`\`\`python
+from vfb_connect.cross_server_tools import VfbConnect
+vc = VfbConnect()
+\`\`\`
+
+Next, you can use the `get_images` method to download images. This method requires the dataset ID as an argument:
+
+\`\`\`python
+dataset_id = 'your_dataset_id'
+images = vc.get_images(dataset_id)
+\`\`\`
+
+This will return a list of images from the specified dataset. Each image is represented as a dictionary with information such as the image ID, title, and URL.
+
+To download the images, you can loop through the list and use the `urlretrieve` function from the `urllib.request` module:
+
+\`\`\`python
+import urllib.request
+
+for image in images:
+    url = image['image_url']
+    filename = image['image_id'] + '.jpg'
+    urllib.request.urlretrieve(url, filename)
+\`\`\`
+
+This will download each image and save it as a JPEG file in the current directory. The filename is the image ID.
+
+## Conclusion
+
+This guide showed you how to use VFBconnect to download images from the Virtual Fly Brain based on a dataset. With VFBconnect, you can easily access and download data from VFB for your research.