A model to automatically identify and classify animals in images. It is trained on the Animals Detection Images Dataset from Kaggle. It relies on the pre-trained weights of EfficientNet B7.

The notebook on Kaggle can be viewed on https://www.kaggle.com/code/richardodhiambo/animal-detection-model

1. Tensorflow - 2.14.0
2. Numpy - 1.23.5
3. Pandas - 1.5.3

Transfer learning from pre-trained weights of EfficientNet B7

• https://towardsdatascience.com/the-w3h-of-alexnet-vggnet-resnet-and-inception-7baaaecccc96
• https://medium.com/@enrico.randellini/image-classification-resnet-vs-efficientnet-vs-efficientnet-v2-vs-compact-convolutional-c205838bbf49
• https://keras.io/examples/vision/image_classification_efficientnet_fine_tuning/
• https://theaisummer.com/cnn-architectures/

This project is licensed under the MIT License.