Micro-robot Dataset

We pull images from Tiny-Imagenet and create three datasets for Micro-robot purposes. Each class has 500 training images and 50 testing images:

10 classes of outdoor objects a micro-robot may encounter.

  1. acorn
  2. basketball
  3. bee
  4. black_widow
  5. frog
  6. ladybug
  7. mushroom
  8. nail
  9. snail
  10. tarantula

10 classes of indoor objects a micro-robot may encounter.

  1. banana
  2. candle
  3. dumbbell
  4. iPod
  5. pill_bottle
  6. pop_bottle
  7. sandal
  8. sock
  9. syringe
  10. teapot

20 classes combining the indoor and outdoor objects.

To Use:

  1. Run sh setup.sh in the current directory.
  2. Use an ImageFolder/DataLoader in PyTorch, implementation from outside this directory.