https://github.com/innerlee/jlimgnet

process imgnet features using julia
https://github.com/innerlee/jlimgnet

Last synced: 21 days ago
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process imgnet features using julia

• Host: GitHub
• URL: https://github.com/innerlee/jlimgnet
• Owner: innerlee
• Created: 2015-09-10T03:15:00.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-10-22T00:49:34.000Z (over 9 years ago)
• Last Synced: 2025-02-11T14:46:52.032Z (2 months ago)
• Language: Julia
• Size: 145 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# reports

### Dataset

we randomly choose 100 imagenet classes under the condition that each class has 800~1200 images.

### use LIBLINEAR directly

for a 50/50 split of train/test, we have svm accuracy: 76.29%.

for the first 10 classes, the same 50/50 split, accuracy is: 92.55%.

### shape of data

#### average radius of classes:

#### average distances between center of classes