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nikhil_rayaprolu ###

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A benchmark for image-based food recognition

1 Travel Grants
1 Authorship/Co-Authorship
Misc Prizes : Various Prizes

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Food Recognition Challenge

Evaluation Criteria

About 1 month ago

We use the official cocoeval for evaluation, the code for it is available at: https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocotools/cocoeval.py
There you can search for ‘score’ key and check how it is being used for evaluation purposes,
If you observe though scores are not used in the calculation formulae but it’s used for the purpose of sorting.

Evaluation Criteria

About 1 month ago

@gloria_macia_munoz the output format (annotations) and details regarding that are available at https://github.com/AIcrowd/food-recognition-challenge-starter-kit/blob/master/Dataset%20Utils.ipynb

Which libraries installs are **actually** needed on AIcrowd?

About 1 month ago

The requirements from this repository would be sufficient:


The given requirements.txt happened to be pip freeze of a local virtualenv.
Also, We have a Colab project with an EDA at:
https://colab.research.google.com/drive/1vXdv9quZ7CXO5lLCjhyz3jtejRzDq221
and a repository that you can use as a baseline at:

Nikhil Rayaprolu

Instructions, EDA and baseline for Food Recognition Challenge

3 months ago

https://github.com/YBIGTA/pytorch-hair-segmentation/issues/37 this could be an issue, if you hadn’t used git lfs to pull the models.

Instructions, EDA and baseline for Food Recognition Challenge

3 months ago

We are releasing a notebook with data analysis on the Food Recognition Dataset and then a short tutorial on training with keras and pytorch. This lets you immediately jump onto the challenge and solve the challenge.
https://colab.research.google.com/drive/1A5p9GX5X3n6OMtLjfhnH6Oeq13tWNtFO#scrollTo=ok54AWT_VoWV

Along with the notebook, we are also releasing the starter codes in both keras (using matterport maskrcnn) and pytorch (using mmdetection). Also, these starter codes have the submission format required to make a successful submission to AICrowd.

mmdetection (pytorch): https://gitlab.aicrowd.com/nikhil_rayaprolu/food-pytorch-baseline
matterport-maskrcnn (keras - tensorflow) - https://gitlab.aicrowd.com/nikhil_rayaprolu/food-recognition

Extension of Deadline till December 31st

3 months ago

You could access the notebook and the baseline repositories at:
https://colab.research.google.com/drive/1A5p9GX5X3n6OMtLjfhnH6Oeq13tWNtFO

Extension of Deadline till December 31st

4 months ago

We are extending the deadline to December 31st. We are also preparing a blog post and a baseline model to help participants with the challenge.

Issue with aicrowd_helpers.py

4 months ago

@shivam @mohanty can you look through this?

Issue with aicrowd_helpers.py

4 months ago

In the meantime, we will modify the helpers to handle the local evaluation too.

Issue with aicrowd_helpers.py

4 months ago

For now, The local debug.sh needs you to remove lines relevant to aicrowd_helpers from run.py, as it requires redis.

Issues with submitting

4 months ago

here is the initial version of the baseline submission, please go through README on changes required for submission, and raise your further queries here.

I don't know how to submit

4 months ago

I am part of the organising team,
here is the initial version of the baseline submission, please go through README on changes required for submission, and raise your further queries here.

I don't know how to submit

4 months ago

Also, we will be providing an example in the next 24 hours that smoothens your submission process. This example contains a baseline model and the structure of the repository for successful submission.

Issues with submitting

4 months ago

hello, shraddhaamohan, we will be providing an example in the next 24 hours that smoothens your submission process. This example contains a baseline model and the structure of the repository for successful submission.

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