Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
Closes: #718 Indonesian Spice Classification using DL
Describe the add-ons or changes you've made 📃
Wrote code for preprocessing and loading images from Indonesian Spices Dataset, checked image appropriateness and displayed accordingly, turned labels into probability distributions, created models including custom CNN as well as pre-trained models, like ResNet-50, VGG16 and so on.
Type of change ☑️
What sort of change have you made:
[x] Bug fix (non-breaking change which fixes an issue)
[x] New feature (non-breaking change which adds functionality)
[x] Code style update (formatting, local variables)
[x] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[x] This change requires a documentation update
How Has This Been Tested? ⚙️
Models
Accuracy
Loss
ResNet-50
2.92%
15.6477
InceptionV3
85.64%
0.5840
CNN
77.88%
0.9821
VGG16
87.25%
0.5719
EfficientNetB7
3.53%
3.4381
DenseNet-121
92.17%
0.2818
Xception
88.86%
0.4359
Checklist: ☑️
[x] My code follows the guidelines of this project.
[x] I have performed a self-review of my own code.
[x] I have commented my code, particularly wherever it was hard to understand.
[x] I have made corresponding changes to the documentation.
[x] My changes generate no new warnings.
[x] I have added things that prove my fix is effective or that my feature works.
[x] Any dependent changes have been merged and published in downstream modules.
Pull Request for DL-Simplified 💡
Issue Title : #718 Indonesian Spice Classification using DL
Closes: #718 Indonesian Spice Classification using DL
Describe the add-ons or changes you've made 📃
Wrote code for preprocessing and loading images from Indonesian Spices Dataset, checked image appropriateness and displayed accordingly, turned labels into probability distributions, created models including custom CNN as well as pre-trained models, like ResNet-50, VGG16 and so on.
Type of change ☑️
What sort of change have you made:
How Has This Been Tested? ⚙️
Checklist: ☑️