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A benchmark for image-based food recognition

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May 16, 2020

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shivam
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Food Recognition Challenge

Winners Annoucement

3 months ago

Round 2 of the Food Recognition Challenge is up!

A BIG THANKS :pray: to all the participants who made this round successful.

It is really impressive to see the scores improve by such a great margin from Round-1 and also the increased participation in Round-2.

Without further ado, it’s time to announce the winners of this round.

Congratulations :tada: to team rssfete comprising @rohitmidha23 and @shraddhaamohan who achieved the winning score of 63.4 (Average Precision). Together they bag the Singularity prize and the travel grant of 2500 CHF to visit AMLD(Applied Machine Learning Days). We also want to thank them for the resources notebooks that they made available publically for other participants as a useful reference.

We also want to congratulate @simon_mezgec for his continued participation and an impressive score of 59.2 (Average Precision) and extend to him a full travel grant of 2500 CHF to visit AMLD 2021 as well. Seeing such perseverance :weight_lifting_man: in participants is really amazing and motivates us as we work hard towards organizing more such challenges.

To everyone who participated, we thank you once again and encourage you to discuss your approach (successful or not) in the discourse forums.,Such open discussions help encourage everyone to participate and learn together as a community :family_man_woman_boy:.

Stay tuned for some exciting announcements coming up shortly :wink:

Submissions not finishing

4 months ago

@simon_mezgec
While debugging your submissions, we realised that you have changed nothing but only an addition of new model (epoch_1.pth -> model.pth), and its started taking 20 hours. Before the change it was just taking 3.5 hours.

We would like to know what is the difference between the baseline model (epoch_20.pth, epoch_1.pth) vs your model (model.pth) to find out why it’s taking more than 5x time.

@hannan4252 We are debugging your submissions and will let you know accordingly once we figure out the issue.

Editing Docker file

5 months ago

@hannan4252
I assume this line is installing tensorflow 2.0:
https://gitlab.aicrowd.com/hannan4252/food_project/blob/Submission-v3.0.6/Dockerfile#L40
RUN pip3 install tensorflow-gpu as the version number hasn’t been mentioned for this package.

Evaluation Criteria

6 months 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.

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

6 months 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

8 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

8 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

8 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

8 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

8 months ago

@shivam @mohanty can you look through this?

Issue with aicrowd_helpers.py

8 months ago

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

Issue with aicrowd_helpers.py

8 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

9 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

9 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

9 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

9 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.

nikhil_rayaprolu has not provided any information yet.