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:

  1. cereal
  2. chocolate_milk
  3. heineken
  4. iron_man
  5. medicine
  6. milk_bottle
  7. milk_box
  8. monster
  9. purple_juice
  10. red_juice
  11. shampoo
  12. tea_box
  13. 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:

  1. apple
  2. basket
  3. cereal
  4. chocolate_drink
  5. cloth_opl
  6. coke
  7. crackers
  8. grape_juice
  9. help_me_carry_opl
  10. noodles
  11. orange
  12. orange_juice
  13. paprika
  14. potato_chips
  15. pringles
  16. sausages
  17. scrubby
  18. sponge_opl
  19. sprite
  20. tray

There is also a single long video and 398 unannotated images for testing.

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