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Feature IC: create toy dataset for single-class image classification #25

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PatrickBue opened this issue Feb 20, 2019 · 1 comment
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@PatrickBue
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E.g. using cans, bottles, and milk boxes.

  • Single-label image classification: single object per image. Maybe also some "negative" images without a single object-of-interest in them.
  • Multi-label image classification: 0 or more objects in image.

Maybe 50 images for each of the two datasets?

@PatrickBue PatrickBue created this issue from a note in IC data science features (To do) Feb 20, 2019
@PatrickBue PatrickBue assigned PatrickBue and jiata and unassigned PatrickBue Feb 20, 2019
@jiata jiata moved this from To do to In progress in IC data science features Feb 28, 2019
@jiata jiata moved this from In progress to Done in IC data science features Feb 28, 2019
@jiata
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jiata commented Feb 28, 2019

initial version hosted here

i did not do the following in this initial dataset, so i will have to update:

  • negative images for single-label
  • 0 objects in image. There is always at least one in the current dataset

@jiata jiata moved this from Done to In progress in IC data science features Feb 28, 2019
@PatrickBue PatrickBue added this to the IC advanced (speed vs accuracy) training notebook milestone Mar 12, 2019
@PatrickBue PatrickBue changed the title Feature IC: create toy dataset for single-class and multi-class image classification Feature IC: create toy dataset for single-class image classification Mar 28, 2019
@PatrickBue PatrickBue moved this from In progress to DoneDone in IC data science features Mar 28, 2019
@PatrickBue PatrickBue moved this from DoneDone to Done in IC data science features May 28, 2019
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