This is the official website of the LMOD 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!
- 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.
- Satellite videos used in LMOD are collected from JiLin-1 satellite constellation and ISS(International Space Station).
📫 If you have any questions, please contact [email protected]
.
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.