Upload Images
  • 12 Mar 2024
  • 4 Minutes to read
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Upload Images

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Article Summary

After you create a project, upload images to it. LandingLens will train a model based on the images you upload and label.

Supported Files Types

  • PNG (recommended)
  • BMP
  • JPG
  • JPEG
  • MPO: An MPO file is a Multi-Picture Object file. It contains two JPG files that create a stereoscopic image when overlaid. When you upload an MPO file to LandingLens, LandingLens selects one of the two JPG files.
  • Pascal VOC: Available only for Object Detection projects. Pascal VOC is a file type for images labeled in LandingLens or an external application. This file format includes the label details and tells the platform where a label is on the associated image. For more information, go to Upload Labeled Images to Object Detection Projects.
Note:
Do you have DICOM (Digital Imaging and Communications in Medicine) files or images in another non-supported file format? Convert them to PNGs first, and then upload them to LandingLens.

Image Size

There is no maximum image size for Object Detection, Classification, and Visual Prompting projects. In other words, you can upload images of any size to these projects. However, images larger than 36MP will load very slowly in the user interface.

Segmentation projects do, however, have a maximum image size based on the number of pixels (and not based on image file size). The exact maximum number of pixels is based on your LandingLen plan:

  • Enterprise: 36MP
  • Free, Starter, Visionary: 984KP
Note:
Images might be resized when training a model. For more information, go to Model Training.

How Do I Know How Many Pixels My Image Has?

Segmentation projects limit the image size at upload based on the number of pixels. You can see an image's dimensions in image editors like Photoshop and Illustrator. You can also see the dimensions directly on your computer, without needing to open the image in an application. See the instructions below.

View Image Dimensions on a Mac

  1. Right-click the image and select Get Info.
    Get Image Info
  2. Expand the More Info section.
  3. The Dimensions line gives you the image dimensions (in pixels). Multiply the two dimensions together to get the total number of pixels.
    For example, if the dimensions are 4000x3000, the total number of pixels is 12 million. That means you can upload the image as-is to a Segmentation project on the Enterprise plan, but not on the Free, Starter, or Visionary plans.
    View the Image Dimensions

View Image Dimensions in Windows

  1. Right-click the image and select Properties.
    Properties
  2. Click the Details tab.
  3. The Dimensions line gives you the image dimensions (in pixels). Multiply the two dimensions together to get the total number of pixels.
    For example, if the dimensions are 250x250, the total number of pixels is 625,000. That means you can upload the image as-is to any Segmentation project.
    View the Image Dimensions

What If My Image Has Too Many Pixels?

If you attempt to upload an image to a Segmentation project that is over the maximum image size (which is in pixels), you'll get an error message. 

As a short-term solution, resize your image in an image editor like Photoshop or Illustrator, and then upload the image again.

As a long-term solution, adjust your camera settings so that the new images are below the maximum number of pixels. This might include lowering the resolution or changing the aspect ratio.

Number of Images in a Project

The number of images you can upload to a project depends on the project type:

  • Object Detection, Segmentation, and Classification: You can upload up to 10,000 images to a project.
  • Visual Prompting: You can upload up to 20 images to a project. For more information, go to Visual Prompting.

Number of Images Required for a Project

You must upload and label at least 10 images before training a model.

Since every project is different, there is no recommended number of images for the project. The optimal number of images for your project generally depends on these factors:

  • How elaborate the object to identify is
  • How many types of objects there are
  • How the object looks

For example, a phone with a cracked screen would require fewer images than a printed circuit board with several intricate parts.

Upload Options


LandingLens offers the following methods for uploading images to your project. Click the hyperlink for each method to learn more.

Upload Images to a New Project vs. a Project that Already Has Images

If you haven't uploaded images to a project yet, all of the upload options appear directly on the project page.

Upload Options for Projects that Don't Have Images Yet

After you've uploaded images to a project, click the Upload icon to see the upload options. Or, you can drag and drop images directly into the project page.


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