| Murgio/Food-Recipe-CNN |
502 |
|
0 |
0 |
about 4 years ago |
0 |
|
20 |
|
Jupyter Notebook |
| food image to recipe with deep convolutional neural networks. |
| ph1ps/Food101-CoreML |
104 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
Swift |
| A CoreML model which classifies images of food |
| Liang-yc/CalorieEstimation |
27 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
Matlab |
| This project is used for estimating calories. |
| ylongqi/fooddist |
18 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Python |
| An open-source food image embedding model |
| JorgeCeja/food101-tensorflow |
16 |
|
0 |
0 |
about 8 years ago |
0 |
|
2 |
|
Python |
| 🌮 Classify Food Images from the Food-101 Dataset Using Transfer Learning (ResNet50). |
| jackgoh/whatfood |
15 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Food classification using deep learning |
| HaaaToka/SeeFood |
11 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Calorie Estimation from Images - bbm406 Fundamentals of Machine Learning Term Project |
| vinayaksable2399/Food-Calories-Estimation-Using-Image-Processing |
9 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
unlicense |
Python |
| srohit0/food_mnist |
8 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
other |
Jupyter Notebook |
| This dataset has 10 food categories, with 5,000 images. For each class, 125 manually reviewed test images are provided as well as 375 training images. All images were rescaled to have a maximum side length of 512 pixels. |
| samyak74/Food-Recognition |
7 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
R |
| CNN based food recognition using Keras in Python and Shiny package in R. |
