Skip to content

Instantly share code, notes, and snippets.

@fangkuoyu

fangkuoyu/ResNet.csv

Last active August 2, 2022 04:50
Show Gist options
  • Save fangkuoyu/d0bf6bc8f1c800c9e770727112ff2340 to your computer and use it in GitHub Desktop.
Save fangkuoyu/d0bf6bc8f1c800c9e770727112ff2340 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
ResNet.csv
ID Dataset Type Classes Total Per Class ImageNet Trainable Training Model Reg Aug Epoch Train Valid Comment
*1 Archietcture more 25 200+ - 600+ yes true true - - - 30 100 70+ fair
2 Archietcture2 more 9 900+ - 1700+ yes true true - - - 30 100 70+ fair
*3 _art/artist more 50 300+ yes true true - - - 30 100 70+ fair
*4 _art/artform more 5 700+ - 2000+ yes true true - - - 30 100 96.1 great
*5 _art/artmovement more 3 320 yes true true - - - 30 100 74.0 fair
50 100 87.5 good
*6 _house/furniture one 5 900+ - 1600+ yes true true - - - 30 100 100 great
*7 _house/indoor more 67 100- - 500+ yes true true - - - 30 100 77.1 fair
*8 _natural/animal one 90 60 yes true true - - - 30 100 89.8 good
9 _natural/dogcat one 2 10000+ yes true true - - - 30 100 100 great
10 _natural/fids30 more 30 30+ yes true true - - - 30 - - too small
*11 _natural/outdoor more 6 2100+ - 2500+ yes true true - - - 30 100 93.1 good
*12 _natural/advanced more 13 100+ - 1000+ yes true true - - - 30 ? ? ?
*13 _manmade/sports more 21 400+ - 900+ yes true true - - - 30 100 89.4 good
14 _manmade/food101 more 101 1000 yes true true - - - 30 - - too large
1 Archietcture 25 200+ - 600+ yes false false - - - - - - -
2 Archietcture 25 200+ - 600+ yes false - - - - - - - -
3 Architecture 25 200+ - 600+ yes - - - y - 30 ? ? ?
4 Archietcture 25 200+ - 600+ yes - - - - - - - - -
5 Architecture 25 200+ - 600+ none - - - - - - - - -
1 Architecture_2 9 900+ - 1700+ yes false false - - - - - - -
2 Archietcture_2 9 900+ - 1700+ yes false - - - - - - - -
3 Architecture_2 9 900+ - 1700+ yes - - - y - 30 100 75 middle
4 Architecture_2 9 900+ - 1700+ none - - - - - - - - -
1 Furniture 5 900+ - 1600+ yes false false - - - - - - -
2 Furniture 5 900+ - 1600+ yes false - - - - - - - -
3 Furniture 5 900+ - 1600+ yes - - - y - 30 100 98.6 great
4 Furniture 5 900+ - 1600+ none - - - - - - - - -
1 Indoor 67 100- ~ 500+ yes false false - - - - - - -
2 Indoor 67 100- ~ 500+ yes false - - - - - - - -
3 Indoor 67 100- ~ 500+ yes - - - y - 30 100 77.5 middle
4 Indoor 67 100- ~ 500+ none - - - - - - - - -
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment