| torralba-lab/im2recipe |
216 |
|
0 |
0 |
over 8 years ago |
0 |
|
4 |
mit |
Python |
| Code supporting the CVPR 2017 paper "Learning Cross-modal Embeddings for Cooking Recipes and Food Images" |
| ph1ps/Food101-CoreML |
104 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
Swift |
| A CoreML model which classifies images of food |
| ivanDonadello/Food-Categories-Classification |
46 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Python |
| This repository contains the dataset and the source code for the classification of food categories from meal images. |
| jubins/DeepLearning-Food-Image-Recognition-And-Calorie-Estimation |
36 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Food image prediction using TensorFlow and calorie estimation using K-Nearest-Neighbors algoritm |
| Liang-yc/ECUSTFD-resized- |
20 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
|
| ECUSTFD is a food image dataset for evaluating computer vision-based methods. ECUSTFD includes 2978 images. |
| 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). |
| dspray95/open-recipe |
14 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
unlicense |
Python |
| Gathering an Open Recipe Dataset |
| HaaaToka/SeeFood |
11 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Calorie Estimation from Images - bbm406 Fundamentals of Machine Learning Term Project |
| suhas-nithyanand/Food-Image-Recognition |
10 |
|
0 |
0 |
almost 9 years ago |
0 |
|
1 |
|
Python |
| Food image recognition using Deep Features. |
| 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. |
