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1. A Convolution Neural Network
based Classification Approach for
Recognizing Traditional Foods of
Bangladesh from Food Images
Nishat Tasnim
Md. Romyull Islam
Shaon Bhatta Shuvo

2. Contents
• Introduction
• Background Study
• Methodology
• Result Analysis
• Conclusion and Future Work

3. Traditional Foods
• Traditional foods are those foods which nourished our ancestors
throughout history and prehistory prior to the advent of the
industrialization of food.
• “Food” is an emerging topic of interest for multimedia and computer
vision community. However, analysis of food images is in general
very challenging.
1. https://nourishedkitchen.com/traditional-foods-nutshell/
2. https://link.springer.com/chapter/10.1007/978-3-319-23222-5_43

4. Background Study
Our experiment was based on the Inception-v3 model of TensorFlow
platform. We have also used CNN and transfer learning technique.

5. TensorFlow
TensorFlow is a machine learning system that operates at large scale
and in heterogeneous environments. It uses a unified dataflow graph to
represent both the computation in an algorithm and the state on which
the algorithm operates. It maps the nodes of a dataflow graph across
many machines in a cluster, and within a machine across multiple
computational devices.
https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf

6. Inception-v3
Inception v3 is a widely-used image recognition model that has been
shown to attain greater than 78.1% accuracy on the ImageNet dataset.
The model is the culmination of many ideas developed by multiple
researchers over the years.
https://cloud.google.com/tpu/docs/inception-v3-advanced

7. Convolutional Neural Networks
• Convolutional Neural Networks are inspired by the brain. Research in the 1950s and
1960s by D.H Hubel and T.N Wiesel on the brain of mammals suggested a new model for
how mammals perceive the world visually.
• Convolutional Neural Networks have a different architecture than regular Neural
Networks. The layers are organized in 3 dimensions: width, height and depth. The
neurons in one layer do not connect to all the neurons in the next layer but only to a small
region of it. The final output will be reduced to a single vector of probability scores,
organized along the depth dimension.
https://medium.freecodecamp.org/an-intuitive-guide-to-convolutional-neural-networks-260c2de0a050

8. Transfer Learning
Transfer learning allows model creation with significantly reduced
training data and time by modifying existing rich deep learning
models.
https://becominghuman.ai/transfer-learning-retraining-inception-v3-for-custom-image-classification-2820f653c557

9. Methodology

10. Result Analysis

11. Conclusion
We have demonstrated a comprehensive pathway to classify traditional
foods of Bangladesh from food images, which is so far the first work
of its kind. As a first research work on this domain, the result is quite
satisfactory as well as encouraging. We also believe this work will
inspire the researchers from various countries to work on their
traditional items.

12. Future Work
We proposed the classification model based on the Inception-v3 model
for seven different food items. Hopefully, in future, we could extend
the work with a larger dataset having more varieties of items. We also
have the plan to implement some other CNN based models to compare
the accuracy on the same dataset.