It's a Kaggle compittion to detect the cactus from aerial images
it's a classifier which classify images to have cactus and no cactus
got a 99.5% valid accurcy and 0.018 valid loss with just 15 epochs
100% of the public data classified well
4000 images with no labels classified well by 100%
Explain what these tests test and why
df.head()
df2=np.asarray(df)
testing=df2[20,:]
img_path = "/content/test/"+testing[0]
img = image.load_img(img_path, target_size=(32, 32))
#print(type(img))
plt.imshow(img)
print(testing[1])
- Sayed mohamed - Initial work - sayedmohamed
This project is licensed under the MIT License - see the LICENSE.md file for details