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.
Instructions:
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
Set 1
166 annotated images with 1028 objects of the following 13 classes:
- cereal
- chocolate_milk
- heineken
- iron_man
- medicine
- milk_bottle
- milk_box
- monster
- purple_juice
- red_juice
- shampoo
- tea_box
- yellow_juice
There are also 28 videos for testing, shot with multiple smartphones.
Set 2
388 annotated images with 1737 objects of the following 20 classes:
- apple
- basket
- cereal
- chocolate_drink
- cloth_opl
- coke
- crackers
- grape_juice
- help_me_carry_opl
- noodles
- orange
- orange_juice
- paprika
- potato_chips
- pringles
- sausages
- scrubby
- sponge_opl
- sprite
- tray
There is also a single long video and 398 unannotated images for testing.
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