chetanjarande31/food-calorie-estimations-using-deep-learning-and-computer-vision

Food calorie estimations Using Deep Learning And Computer Vision

Food-calorie-estimations-Using-Deep-Learning-And-Computer-Vision

Food calorie estimations Using Deep Learning And Computer Vision

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Dataset Information for Training and Testing

• You can use your own data, for making use of following file one can upload the dataset to google drive and then mount drive into your .ipynb file.

  Darknet YoloV4 AlexeyAB.ipynb

• for the files like which uses Roboflow Create your account on roboflow and upload your dataset under

Workspace -> Project -> Your_Dataset

• change varibales for workspace and project and your private key for your dataset

• For YOLO V4 model use following file Train_Custom_YOLOv4_Darknet_Roboflow.ipynb

• For YOLO V5 model use following file

  CJ_Roboflow_Train_Custom_YOLOv5.ipynb

View & Download Dataset from here

My Roboflow Dataset link

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Project Report and Papers and PPT

• reports
  • Project Report of Food calorie estimations Using Deep Learning And Computer Vision.pdf
• PPT:
  • food calorie estimation BE proj ppt.pptx
• Papers:

  1. SURVEY ON FOOD CALORIE ESTIMATION USING DEEP LEARNING AND COMPUTER VISION
  2. Food Calorie Estimation Using Deep Learning and Computer Vision

Code implementation and Usage

• Food calorie estimations Using Deep Learning And Computer Vision.ipynb

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Extra components:

this folder contains the net files for the custom YOLOv4 and YOLOv5 and .ipynb files for how to train them.

• links can be found in links.txt file

• Custom YOLOV4 Darknet

• ".weights" files for training custom darknet YOLO V4 model
• link: https://drive.google.com/drive/folders/13kAvdJRTdD1-EBWndrdziyN0sXqczoZU?usp=sharing

• Custom YOLOv5

• YOLO v5s V1 (a small-scale model which can be used for Android-based applications)
• ".pt" files can be found at : https://drive.google.com/drive/folders/12IOvg1eU-9oRnF83e-vHamzejxHdRUGa
• folder link: https://drive.google.com/drive/folders/1ntILxD9NemhOSQvrB7hI2VFTNlqD0pcb?usp=sharing

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Made With 💖 by

• Chetan Jarande

• Mukta Bhagwat

• Vishakha Patil

• Diya Ukirde

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