Project 1: 🍲👀 Food Vision

This project categories the food images.

• Dataset used: food101
• Python librarie used: numPy, matplotlib, TensorFlow
• Model used: EfficientNetB0
• Accuracy: 79.63%
• Input: food images
• Output: label of food image

Project 2: 🐶 Dog Breed Identification

This project identify the dog images.

• Dataset used: dog breed identification
• Python librarie used: numPy, pandas matplotlib, TensorFlow
• Model used: mobilenetv2
• Accuracy: 99.97%
• Input: dog images
• Output: label of dog image

Project 3: 🤟 ASL Alphabet

This project classify American Sign Language Alphabet images.

• Dataset used: ASL Alphabets
• Python librarie used: matplotlib, PyTorch
• Model used: Resnet9
• Accuracy: 99.99%
• Input: ASL alphabet images
• Output: label of ASL alphabet image

Project 4: 💐 Flowers Recognition

This project recognize the flower images.

• Dataset used: flowers recognition
• Python librarie used: numPy, matplotlib, PyTorch
• Model used: Resnet9, Resnet34
• Accuracy: 79.55%, 89.26%
• Input: flower images
• Output: label of flower image