sagnik1511/African-Wildlife-Animal-Recognition-with-CNN

Domaine:

environment and energy

Type de record:

model

Créateur:

sag

Hôte:

Using Custom CNN to predict images of African Wildlife # Africal wildlife Prediction using CNN Pretrained VGG Prediction over African Wildlife --- ### Dataset : Link : kaggle.com Data directory : root/ ├─ buffalo/ ├─ 001.jpg ├─ 001.txt elephant/ ├─ 001.jpg ├─ 001.txt rhino/ ├─ 001.jpg ├─ 001.txt zebra/ ├─ 001.jpg ├─ 001.txt ### Model Evaluation : ### Prediction : **Train accuracy is near : 99.2%** **Validation accuracy is near : 86%** #### Predict function : def predict(path): img = cv2.imread( path ) img = cv2.cvtColor( img , cv2.COLOR_BGR2RGB) img = cv2.resize( img , (256,256) ) img = img.reshape(1 , 256 , 256 , 3) pred = np.argmax( clf.predict(img) ) plt.imshow(img.reshape( 256 , 256 ,3)) plt.title(f'Prediction : {classes[pred]}') #### Results : # Do Star the repository :) # Thank You for visiting :)

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