Contained 19480 Hand curated, close-up photos of bees, wasps and other insects.
The challenge is primarily to distinguish bees from wasps.
example bees:
example wasps:
example other insect:
example other non-insect:
we have:
bees..........: 3183
wasps.........: 4943
other insects.: 2453
other.........: 845
in that, there is:
training photos : 7942
hyperparameter tuning (1st level validation) photos : 1719
final validation (brag about your result with these) photos : 1763
In the final validation, there is 504 bees and 753 wasps, meaning that the resolution of the result is 0.08%
This image dataset collates and refines upon several sources:
The photos have been hand-curated by our expert biologist , Callum Robertson https://www.linkedin.com/in/callum-robertson-358014109/ Collator and Kaggle competitor: George Rey
labels.csv
:id,path,is_bee,is_wasp,is_otherinsect,is_other,photo_quality,is_validation,is_final_validation
1,bee1\10007154554_026417cfd0_n.jpg,1,0,0,0,1,0,0
2,bee1\10024864894_6dc54d4b34_n.jpg,1,0,0,0,1,0,1
3,bee1\10092043833_7306dfd1f0_n.jpg,1,0,0,0,1,1,0
6842,wasp2\I00101.jpg,0,1,0,0,0,0,0
6843,wasp2\I00102.jpg,0,1,0,0,0,0,0
6844,wasp2\I00103.jpg,0,1,0,0,0,1,0
Labels:
in labels.csv
:
id
- ordinal - unique indexpath
- string - relative path to the photo, including extensionis_bee
- nominal - 1 if there is a bee in the photois_wasp
- nominal - 1 if there is a wasp in the photois_otherinsect
- nominal - 1 if there is other insect prominently in the centre of the photo,
but it is not a wasp and not a bee. It might be a fly, but there are other things there too,
like beetlesis_other
- random photos not containing any insectsphoto_quality
- 1 for photos where I have very high confidence that it is bee, wasp, or other.
0 for photos of generally low quality or where I am not very confident that it is what it says
it is. You can use this to initially reduce the size of the training setis_validation
- you can use this for your training validation, or you can combine these with
the training data and split your training/validation differentlyis_final_validation
- do NOT use these photos for training - use them to compute your final
score. This will enable comparing results by different kagglers. Optionally, if you want to
deploy an app to actually serve the model, you can then use these for final training too.