ImageNet16: Small scale ImageNet Classification
Description
This is a subset of ImageNet called "ImageNet16" more suited for cases with limited computational budget and faster experimentation.
Each class has 400 train images and 100 test images.
* Credit also goes to original creators that constructed the dataset. Unfortunately, I was not able to relocated it online so I reupload it here.
If used in your work please cite as follows:
C. Kyrkou, "Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2024.3380827.
The classes corresponding to imagenet1K:
• n02009912 American_egret
• n02113624 toy_poodle
• n02123597 Siamese_cat
• n02132136 brown_bear
• n02504458 African_elephant
• n02690373 airliner
• n02835271 bicycle-built-for-two
• n02951358 canoe
• n03041632 cleaver
• n03085013 computer_keyboard
• n03196217 digital_clock
• n03977966 police_van
• n04099969 rocking_chair
• n04111531 rotisserie
• n04285008 sports_car
• n04591713 wine_bottle
From original map.txt
knife = n03041632
keyboard = n03085013
elephant = n02504458
bicycle = n02835271
airplane = n02690373
clock = n03196217
oven = n04111531
chair = n04099969
bear = n02132136
boat = n02951358
cat = n02123597
bottle = n04591713
truck = n03977966
car = n04285008
bird = n02009912
dog = n02113624
Folder Structure
-<train>
-- <class idx 1>
--- <filename1>.JPEG
--- <filename2>.JPEG
--- ....
-- <class idx 1>
--...
-<val>
-- <class idx 1>
--- <filename1>.JPEG
--- <filename2>.JPEG
--- ....
-- <class idx 1>
--...
Some preliminary results:
Model Name | Accuracy (Top-1) |
VGG16 | 85.3 |
ResNet50 | 88.2 |
MobileNetV2 | 91.0 |
EfficientNet B0 | 85.6 |
Massive Credit to original ImageNet authors
[1] Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg and Li Fei-Fei.ImageNet Large Scale Visual Recognition Challenge. IJCV, 2015
Files
imagenet16.zip
Files
(885.3 MB)
Name | Size | Download all |
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md5:9f3101db921b47210d71c30f0495fa39
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