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LMOD:A Large-scale and Multiclass Object Detection Dataset for Satellite Videos

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LMOD: A Large-scale and Multiclass Moving Object Detection Dataset for Satellite Videos

This is the official website of the LMOD dataset.

Getting the dataset

⭐ The dataset application is very simple and requires only the following two steps:

  • Please fill in this application form.
  • Please send your completed application form to this E-mail address:[email protected].
    When we receive your application, we will reply as soon as possible. Thank you for your support!

Introduction

  • The LMOD dataset is the first satellite video moving multi-object detection dataset with both large-scale and multiclass labeling features. LMOD consists of eight sequences from seven videos.
  • LOMD has a wide range of annotation, the smallest image width is 1500×1160, and the largest image width is 4000×2000. The large range of scenes can better simulate the effect of object detection methods used in real scenes, but at the same time, it brings more challenges for object detection.
  • The LMOD is labeled with 459,713 vehicle objects, 9,390 aircraft objects, 10,536 ship objects and 693 train objects, for a total of 480,332 objects, with each sequence labeled with at least two classes of objects.

Visualization

Data Source

Contact

📫 If you have any questions, please contact [email protected].

Tips 🌞

If you want to use multi-object detection and tracking or single-object tracking dataset labeled with the OBB (Oriented Bounding Box) method which has orientation information, you can try to use the OODT dataset that we have published before.

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LMOD:A Large-scale and Multiclass Object Detection Dataset for Satellite Videos

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