Add resource "Im2Calories: Towards an Automated Mobile Vision Food Diary" Accepted
Changes: 13
-
Add Im2Calories: Towards an Automated Mobile Vision Food Diary
- Title
-
- Unchanged
- Im2Calories: Towards an Automated Mobile Vision Food Diary
- Type
-
- Unchanged
- Paper
- Created
-
- Unchanged
- 2015-12
- Description
-
- Unchanged
- We present a system which can recognize the contents of your meal from a single image, and then predict its nutritional contents, such as calories. The simplest version assumes that the user is eating at a restaurant for which we know the menu. In this case, we can collect images offline to train a multi-label classifier. At run time, we apply the classifier (running on your phone) to predict which foods are present in your meal, and we lookup the corresponding nutritional facts. We apply this method to a new dataset of images from 23 different restaurants, using a CNN-based classifier, significantly outperforming previous work. The more challenging setting works outside of restaurants. In this case, we need to estimate the size of the foods, as well as their labels. This requires solving segmentation and depth / volume estimation from a single image. We present CNN-based approaches to these problems, with promising preliminary results.
- Link
-
- Unchanged
- http://dx.doi.org/10.1109/iccv.2015.146
- Identifier
-
- Unchanged
- ISBN: 9781467383912
Resource | v1 | current (v1) -
Add ImageNet
- Title
-
- Unchanged
- ImageNet
- Type
-
- Unchanged
- Web
- Created
-
- Unchanged
- no value
- Description
-
- Unchanged
- ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.
- Link
-
- Unchanged
- http://www.image-net.org/
- Identifier
-
- Unchanged
- no value
Resource | v1 | current (v1) -
Add Automatic food clasiffication
- Title
-
- Unchanged
- Automatic food clasiffication
- Description
-
- Unchanged
- Many people are interested in tracking what they eat to help them achieve weight loss goals or manage their diabetes or food allergies. However, most current mobile apps (MyFitnessPal, LoseIt, etc) require manual data entry, which is tedious and time consuming. Consequently, most users do not use such apps for very long. Furthermore, amateur self-reports of calorie intake typically have an error rate that exceeds 400 calories per day. Rather than rely purely on data entry, several approaches make use of a mobile camera to aid in this task.
- Link
-
- Unchanged
- no value
Topic | v1 | current (v1) -
Add Calorie intake measurement
- Title
-
- Unchanged
- Calorie intake measurement
- Description
-
- Unchanged
- Concerns measuring the calorie and nutritional content of food.
- Link
-
- Unchanged
- no value
Topic | v1 | current (v1) -
Add ImageNet
- Title
-
- Unchanged
- ImageNet
- Description
-
- Unchanged
- The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. ImageNet contains more than 20,000 categories with a typical category, such as "balloon" or "strawberry", consisting of several hundred images. The database of annotations of third-party image URLs is freely available directly from ImageNet, though the actual images are not owned by ImageNet.
- Link
-
- Unchanged
- https://en.wikipedia.org/?curid=50896194
Topic | v1 | current (v1) -
Add Computer vision relates to Im2Calories: Towards an Automated Mobile Vision Food Diary
- Current
- relates to
Topic to resource relation | v1 -
Add Automatic food clasiffication treated in Im2Calories: Towards an Automated Mobile Vision Food Diary
- Current
- treated in
Topic to resource relation | v1 -
Add ImageNet cons given in ImageNet Large Scale Visual Recognition Challenge
- Current
- cons given in
Topic to resource relation | v1 -
Add ImageNet has official ImageNet
- Current
- has official
Topic to resource relation | v1 -
Add Automatic food clasiffication uses ImageNet
- Current
- uses
Topic to topic relation | v1 -
Add Computer vision parent of Automatic food clasiffication
- Current
- parent of
Topic to topic relation | v1 -
Add Automatic food clasiffication used by Calorie intake measurement
- Current
- used by
Topic to topic relation | v1 -
Add Google created Im2Calories: Towards an Automated Mobile Vision Food Diary
- Current
- created
Author to resource relation | v1