robert-kamunde / Food101Project
Building a model for predicting food images using the famous FOOD-101 dataset.
☆23Updated 2 years ago
Related projects: ⓘ
- Food object detection with base Faster R-CNN TensorFlow model with k-fold cross validation, resulting in volume estimation and producing …☆17Updated 3 years ago
- Multiclass Classification using Keras and TensorFlow on Food-101 Dataset☆11Updated 4 years ago
- Jeju Machine Learning Camp 2018☆36Updated 5 years ago
- An ML model which is trained to recognise food images, calculate volume and estimate calorie content☆67Updated 4 years ago
- ☆45Updated 3 years ago
- CNN based food recognition using Keras in Python and Shiny package in R.☆18Updated 5 years ago
- Food calorie estimations Using Deep Learning And Computer Vision☆17Updated 3 weeks ago
- SJTU-CS386 Digital Image Processing Course Project☆41Updated 5 years ago
- Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.☆59Updated last year
- Food Ingredients Recognition and Calorie Estimation using Multi-Task Deep Learning☆22Updated last year
- Food image prediction using TensorFlow and calorie estimation using K-Nearest-Neighbors algoritm☆74Updated 3 years ago
- 🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕☆246Updated 4 months ago
- A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.☆70Updated 4 years ago
- Plant disease detection and remedy suggestions using Deep Learning, Server Computing and Android.☆28Updated 4 years ago
- Sign Language Alphabet Detection and Recognition using YOLOv8☆37Updated last year
- A Flask WebApp which can Recognise the Food using Transfer Learning Mobilenet☆19Updated last year
- This android app takes food item image as input ,recognises the food item and calculates the nutrition value on the food , calories to b…☆9Updated 2 years ago
- Image classification using pytorch☆56Updated 11 months ago
- Deep transfer learning-based skin cancer detection flask web app deployed on Heroku☆38Updated 5 years ago
- ☆41Updated 3 years ago
- A Leaf Disease image classifier built in order to classify leaf diseases using Deep Residual Networks and YOLOv3 object detection algorit…☆0Updated 4 years ago
- This Machine learning Image classification uses scikit-learn SVM image classification algorithm☆28Updated 3 years ago
- This project classifies diseases in grape plant using various Machine Learning classification algorithms.☆20Updated last year
- Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow☆69Updated 4 years ago
- “Food Demand Forecasting” - A Machine Learning Hackathon Dataset released by an American professional services firm, Genpact.☆1Updated 4 years ago
- Social distance detection , a deep learning computer vision project with yolo object detection☆112Updated last year
- Using deep learning to estimate food volume from an input image.☆57Updated last year
- Web application for real-time object detection 🔎 using Flask 🌶, OpenCV, and YoloV3 weights. It uses the COCO Dataset 🖼.☆16Updated 3 years ago
- Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow☆36Updated 5 years ago
- The Website predicts if the leaf🌿 is healthy or not using by taking plant's left image using Machine Learning🤖☆23Updated last year