DASH-DIET-101 Computer Vision Project

DASH101

Updated 5 months ago

2k

views

100

downloads
Classes (105)
Almond
Anchovy
Apricot
Artichoke
Avocado Banana
Barley
Beetroot
Beetroot Juice
Bitter Gourd Juice
Black Beans
Black-eyed peas
BlackTea
Blackberry
Bok Choy
Borscht
Brinjal
Broccoli
Brown Bread
Butternut Squash
Cabbage
Cantaloupe
Cardamom
Carrot
Cashew Nut
Cauliflower
Celery
Chana Masala
ChiaSeeds
Chicken Tikka Masala
Chickpea
Chili Powder
Cloudberry
Coconut Chutney
Coconut Water
Coffee Bean
Cooked Tofu
Coriander
Cucumber
Cumin
Dark Chocolate
Fig
Flaxseed
Garlic Ginger
Grapefruit
Greek Salad
Green Apple
Green Bell Pepper
Green Lemon
Green Pumpkin Seeds
Guacamole
Honeydew Melon
Jackfruit
Jalapeno
Kabocha Squash
Kimchi
Kiwi
Lentil soup
Lobster
MahiMahi
Mango Milk
Miso Soup
Moussaka
MungBean
Mussels
Northern Red snapper
Okra
Onion
Orange Juice
Palak Panner
Peanut
Pecan Nut
Pico De Gallo
Pineapple
Pistachio
Pitaya
Poha
Pomegranate
Popcorn
Potato
Purple yam
Quinoa
Radicchio
Radish
Rajma
Raspberry chia jam
Raw Chicken
Red Apple
Red Lentil
Salmon
Sapodilla
Sesame Seed
Shakshouka
Soaked Sabja Seed
Strawberry
Sweet Corn
Tabbouleh
Tomato
Turmeric Powder
Wakame
Watermelon
White Egg
Zucchini

Metrics

Try This Model
Drop an image or
Description

DASH-DIET-101


About DASH-DIET-101

DASH-DIET-101 is created by Bhavya Bansal, Dhruv Sehgal, Yogita Gehani, Ayush Rai and Nikunj Bansal with a goal of building a model to detect food items that reduces Hypertension. It contains more than 60,000 images of 101 popular food items belonging to DASH.

Reference: DASH: Dietary Approaches to Stop Hypertension.

Data collection

We used search engines (Google and Bing) to crawl and look for suitable images using JavaScript queries for each food item from the list created. The images with incomplete RGB channels were removed, and the images collected from different search engines were compiled. When downloading images from search engines, many images were irrelevant to the purpose, especially the ones with a lot of text in them. We deployed the EAST text detector to segregate such images. Finally, a comprehensive manual inspection was conducted to ensure the relevancy of images in the dataset.

Fair use

This dataset contains some copyrighted material whose use has not been specifically authorized by the copyright owners. In an effort to advance scientific research, we make this material available for academic research. If you wish to use copyrighted material in our dataset for purposes of your own that go beyond non-commercial research and academic purposes, you must obtain permission directly from the copyright owner. We believe this constitutes a 'fair use' of any such copyrighted material as provided for in section 107 of the US Copyright Law. In accordance with Title 17 U.S.C. Section 107, the material on this site is distributed without profit to those who have expressed a prior interest in receiving the included information for non-commercial research and educational purposes.(adapted from Christopher Thomas).

Citation

If you find our dataset useful, please cite us as:

@dataset{dataset,
author = {Bansal, Bhavya and Bansal, Nikunj and Sehgal, Dhruv and Gehani, Yogita and Rai, Ayush},
year = {2023},
title = {DASH-DIET-101 Dataset},
publisher = {Roboflow Universe},
url = {https://universe.roboflow.com/dash101/dash-diet-101},
}

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            dash-diet-101_dataset,
                            title = { DASH-DIET-101 Dataset },
                            type = { Open Source Dataset },
                            author = { DASH101 },
                            howpublished = { \url{ https://universe.roboflow.com/dash101/dash-diet-101 } },
                            url = { https://universe.roboflow.com/dash101/dash-diet-101 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { aug },
                            note = { visited on 2024-12-21 },
                            }