Tech stack:

This project implements image classification using the InceptionV3 deep learning model. The model is pre-trained on the ImageNet dataset, making it capable of accurately classifying a wide range of objects in images.

• InceptionV3 architecture for powerful image classification
• Pre-trained weights on ImageNet for quick deployment
• Easy-to-use Python script for testing on custom images
• Ideal for learning about deep learning and image classification

Predictions:

• 1: freight_car (0.85)
• 2: electric_locomotive (0.08)
• 3: passenger_car (0.01)

pip install tensorflow

• The InceptionV3 model is part of the TensorFlow Keras Applications module.
• ImageNet class index is obtained from https://storage.googleapis.com/download.tensorflow.org/data/imagenet_class_index.json.

• This project is licensed under the MIT License.

1. Clone this repository:

   git clone https://github.com/niladrridas/imageclassification.git