Annotated image dataset of household objects from the RoboFEI@Home team
This data set contains two sets of pictures of household objects, created by the RoboFEI@Home team to develop object detection systems for a domestic robot.
The first data set was created with objects from a local supermarket. Product brands are typical from Brazil. The second data set is composed of objects from the RoboCup@Home 2018 OPL competition.
This data set contains two separate sets of annotated images. Common features of the image sets:
- Images are saved in JPG format
- Annotations are made with labelImg
- Both sets contain videos in MP4 format to test trained detection models
166 annotated images with 1028 objects of the following 13 classes:
There are also 28 videos for testing, shot with multiple smartphones.
388 annotated images with 1737 objects of the following 20 classes:
There is also a single long video and 398 unannotated images for testing.