SPAIC - Udacity | Facebook Secure and Privacy AI Challenge 2019.
Implementing different models on same dataset | Providing statistics on "which is the most accurate model for image processing" through the details collected from the models implemented
Rice is the staple food for more than half the world's population;accordingly, its supply must double by 2050 to keep up with food demand from population growth. Nearly a fifth of the world’s population are rice farmers.However,they approximately loose 37% of their rice crop yields to various rice diseases. We believe our model will help rice farmers know their rice crop’s condition ,hence leading to higher yields. For more detailed project introduction: https://github.com/risper25/MOST- (@risper bevalyn)
This is the slack handles of the members
Name | Slack Name |
---|---|
Vigneshwari Ramakrishnan | @Vigneshwari |
Shudipto Trafder | @Shudipto Trafder |
Laura Truncellito | @LauraT |
Ellyana Linden | @Ellyana Linden |
Risper Bevalyn Adera | @risper bevalyn |
Shuvam Lal | @happycoder354 |
Anna Scott | @Anna Scott |
- @Ellyana Linden
- @Shudipto Trafder
- @Vigneshwari
- @risper bevalyn
- @happycoder354
Slack Name | Contribution Areas |
---|---|
@LauraT | Description of the models implemented for the projects, Readme file |
@Vigneshwari | Readme file, Project deck, Github Project repo, Portfolio |
@risper bevalyn | Introduction of the project, Data collection and chart in google sheet |
@Shudipto Trafder | Essential attributes identification and listing, Readme file |
Datasets: Rice Diseases Image Dataset
Dataset of rice images - 4 labels/ categories (3 diseases and pests, 1 healthy).
- Brown Spot (523 files)
- Healthy (1488 files)
- Hispa (565 files)
- LeafBlast (779 files)
- GoogleNet
- ResNet50
- VGG19
- Resnext101_32x8d
- Densenet201
- Alexnet
Link: https://github.com/drvigneshwari/SG_AIMLPros-MOST/projects/1
Slack Name | Model Name | Kernel Link |
---|---|---|
@Ellyana Linden | GoogleNet | googlenet.ipynb |
@Ellyana Linden | Resnet50 | googlenet |
@Shudipto Trafder | resnext101_32x8d | kernelcd66c7e01d-version1 |
@Shudipto Trafder | resnet 50 | kernelcd66c7e01d |
@Vigneshwari | Alexnet | kernel4946364e36 |
@risper bevalyn, @happycoder354 | VGG19 | rice-leaves-disease-classifier |