Purpose of this competition

SUBARU has developed EyeSight, its Preventive Safety technology, using a stereo camera.

By using images from two stereo cameras on the left and right, it is possible to recognize objects and measure distances to them with high degree of accuracy. In addition, technologies to estimate object distances and velocities combined with AI are also becoming more common. Up until now EyeSight’s algorithms have been designed for implementation on specific hardware. However, with the rapid development of technologies, it is necessary to consider a wider range of possibilities in the future, and we have decided to hold the contest with open innovation.

In this competition, we provide you a dataset of the actual left and right images obtained from EyeSight and the Disparity maps generated from them. Real world images include various low visibility scenes such as night and rain. Your challenge is to create an algorithm using that image dataset to detect the velocity of objects that can be used in a real environment.


Description

You are required to create an algorithm to infer the velocity of the leading vehicle in each frame using video image data, etc.

Dataset

Video Data
Annotation
File Format
mp4, raw, pngjson
Contents

- Right camera video images(10[fps])

- Left camera video images(10[fps])

- Disparity map(raw data and 2D image)

- Vehicle velocity

- Steering angle

- Velocity of the leading vehicle and distance between vehicles, etc.

Sample Size
(Train data) 737 scenes (Test data) 239 scenes
(Train data) 737 scenes (Test data) 239 scenes
Notes

- Total number of frames in each video is about 100-200.

- Scene ID 533 and 601 have been deleted.

- Test data does not include the speed and

distance of the vehicle ahead, but the rectangular coordinates

of the vehicle ahead are given only in the first frame.

- Scene ID 163 and 209 have been deleted.

* For details, please refer to the distributed data such as readme.

The Evaluation Metric

The evaluation value for accuracy is calculated according to the following procedure.


①Calculate the error for each scene


②Calculate the weighted mean of the errors for all scenes



"評価値計算時の重み付加" is defined in the annotation of the train data('"評価値計算時の重み付加"="有"' means the error in the scene is multiplied by some weight. In this case, the weight is 3.). The result error calculated in ② is the final evaluation value. It takes a value between 0 and 1, the smaller the value, the higher the accuracy.

※Please also check the contents of evaluation.zip data to be distributed.


Determination of the final rankings

The evaluation during the challenge is done on part of the test data (public score) , and the evaluation after the challenge is done on the remaining part of the test data (private score).

The leaderboard automatically switches to the final evaluation at the end of the challenge, and the final ranking is determined based on it. For this reason, the ranking may change significantly after the challenge.

Premise of participation

・Please understand the purpose set in the competition and build a system that is conscious of practicality.

　Practicality here means that it is fully automatic processing, high accuracy, high speed, low calculation amount (HW cost saving), scalable with respect to the amount of data, and high model interpretability.

・Participation by cheating or ignoring the rules is not allowed.

・It is prohibited to slander others or to act against public order and morals.

　If the secretariat determines that it is malicious, please be aware that there is a possibility of deprivation of winning qualifications and membership qualifications before participating.


Rules for registration

・You may have one account per participant.

・Teams are not allowed to participate.


Information sharing

・Please refer to the “Disclosure Policy” page.


Creating algorithms

・If you enter new data in the format provided in the competition, only the model for which the prediction result is automatically output will be evaluated.

・The proposed method should be reproducible without any additional costs (you are not allowed to use any paid external APIs, etc.), and the algorithms are meant to be used after this competition.

・CPU memory usage should be 32 GB or less (GPU is 10 GB or less) during inference, and the total file size of the trained model should be 2 GB or less.

・The tools used to train the model should be open, free and commercially available (e.g., python, tensorflow, etc.).


Data limitations

・It is prohibited to use evaluation data for model training .

・You can use your own external data for training and testing as long as it is open and available free of charge.

・It is allowed to modify training data (to the repeatable extent).

・Image processing techniques can be used to automatically augment train or test data. However, algorithms that require manual intervention during the process are prohibited.

・It is prohibited to use information from future frames when inferring about a certain frame in a scene.

・it is prohibited to use information from another scene when inferring about a scene.

Disclosure policy

As a general rule, in accordance with Article 4, Paragraph 1 of the terms of participation, diclosing any contents such as insights and deliverables transmitted through the information or data provided by our company in relation to this competition is not permitted, however, only after the completion of this competition and for non-commercial purposes, it will be possible to disclose the contents within the score of the table below
Model *1
Private
Analysis results *2
Public
Public : Posting to social media sites, blogs and source repositories, and citing to papers
Restricted : Using in a limited range from research, education to seminars, where many unspecified people cannot access
*1 Execution unit source code and learned models
*2 The insights obtained using the information and data provided, or the solutions including scripts and processed data such as summary statistics

※Notes

・SOTA Challenge has a different end date for each participant. The above contents can be disclosed only after you agree to the Terms of Participation.
・If you publish information using this data on social media sites, blogs, thesis, seminars, or any other places, please include the following information.

〇Competition Information
“SUBARU Image Recognition Challenge: Creating an algorithm to detect object velocity using the EyeSight image dataset” Competition
https://signate.jp/competitions/657

〇Data Information
"Dataset for Robust and Accurate Leading Vehicle Velocity Recognition"
Genya Ogawa (1), Toru Saito (1), Noriyuki Aoi (2) ((1) Subaru Corporation, (2) Signate Inc.)
https://arxiv.org/abs/2204.12717

〇Data License Information
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

・When posting or publishing outside of the competition’s forum, please clearly state the publication information (including the link URL to the pages) on the contest forum in order to let all the participants know it.

▼Special Contract on this Competition
・The data distributed in this competition does not need to be deleted after the competition. However, it can be used only for the purpose of participating in this competition.
・No restrictions apply to posting and/or publication in regard to posting and/or other publication on any social media site, blog or similar by the participant of information relating to any algorithm developed by said participant or any other materials produced for or related to this contest.
・If you publish information using this data on social media sites, blogs, thesis, seminars, or any other places, please include the following information.

〇Competition Information
“SUBARU Image Recognition Challenge: Creating an algorithm to detect object velocity using the EyeSight image dataset” Competition
https://signate.jp/competitions/657

〇Data Information
"Dataset for Robust and Accurate Leading Vehicle Velocity Recognition"
Genya Ogawa (1), Toru Saito (1), Noriyuki Aoi (2) ((1) Subaru Corporation, (2) Signate Inc.)
https://arxiv.org/abs/2204.12717

〇Data License Information
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

・When posting or publishing outside of the competition’s forum, please clearly state the publication information (including the link URL to the pages) on the contest forum in order to let all the participants know it.


Terms of Participation in SIGNATE Competition

In order to participate in the Competition, you are required to agree to these Terms, in addition to the Terms of Use of SIGNATE.JP Site (hereinafter referred to as the “Terms of Use”). You should participate in the Competition after reading carefully and agreeing to these Terms. These Terms, the matters that are displayed as “additional matters” that you have agreed to when participating in a Competition, the Terms of Use and other terms and conditions that you have agreed to (hereinafter collectively referred to as “these Terms, etc.”) shall all be binding on the Participant.


Article 1 Definitions

1. For the purpose of these Terms, the following terms shall be defined as follows:

(1) “Site” means the website “SIGNATE (https://signate.jp)” on which the Competitions are posted.
(2) “Competition” means any competition on AI development or data analysis on the Site as held by the Host.
(3) “Host” is the host(s) of the Competition. The Host may be SIGNATE, Inc. (hereinafter referred to as the “Company”) or the Company’s client companies, affiliated companies, schools or organizations, etc. (hereinafter referred to as the “Client(s)”).
(4) “Participant(s)” means the member(s) (which mean “member(s)” defined in the Terms of Use, and the same shall apply hereinafter) who participate in a Competition.
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(7) “Winner Candidate” means the Participant who has received a notice from the Company that he/she is nominated as a winner candidate.
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(9) “Final Judgment” means the acceptance inspection and judgment, including reproducibility verification, by the Company for the Final Submissions and Submissions for Final Judgment of a Winner Candidate.
(10) “Winner” means the Winner Candidate who is informed by the Company that he/she has won a prize.
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(12) “OSS License Terms” means any of the following license terms
(1) Either the GNU General Public License or the GNU Lesser General Public License published by the Free Software Foundation, Inc.;
(2) License terms listed at www.opensource.org/licenses/ or derivatives thereof;
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(4) License terms or agreements similar to the license terms listed in each of the three preceding items which request the user to disclose, distribute or license to a third party, or not to exercise, etc., the licensed software, its derivatives and the intellectual property rights associated therewith in whole or in part.

Article 2 Competition

1. A member who desires to participate in a Competition shall be required to agree to these Terms, etc. and to satisfy the conditions for participation as specified in each such Competition. Any person who is not a member shall not participate in any Competition.
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3. Participants may submit the Submissions for the assignment of a Competition during the period of such Competition and submit as many proposals on the method of solving the problem as specified by the Company to the Host by the end of the period of the said Competition.
4. Participants may submit Submissions in the form specified in the Competition and specify those Submissions as a Final Submission on the prescribed page in the Site by the end time specified by the said Competition.
5. Participants’ Final Submissions shall be evaluated in accordance with the evaluation method specified in the Competition and the final ranking shall be determined based on such evaluation.
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12. The Host shall not be obligated to pay any remuneration or other consideration for any act of the Participants in a Competition under any pretext. And the Company shall not be obligated to pay any remuneration or other consideration other than those prescribed in the following Article for any act of the Participants in a Competition.

Article 3 Reward and Vesting of Rights

1. Unless otherwise provided for, any Participant shall satisfy the requirements set forth in the following items in order to be entitled to receive a reward in any Competition that offers a reward:

(1) To be a winner;
(2) To agree to transfer to the Host and the relevant transferee of rights in such Competition all transferable rights, such as copyrights (including the rights as prescribed in Article 27 and Article 28 of the Copyright Act, and the same shall apply hereinafter), rights to obtain patents and know-how, etc. in and to all analysis and prediction results, prediction models, reports, etc., written explanations on algorithms, source code and reproduction method, etc. (although not limited to these), and the Submissions contained in the Final Submissions and Submissions for Final Judgment (hereinafter referred to as the “Rights”) along with a guarantee that the Participant has the authority to transfer such Rights;
(3) To guarantee that any relevant transferee of rights may use the Rights contained in the Final Submissions and Submissions for Final Judgment for its own business and other purpose without any restriction and to agree to their exclusive use of such Rights;
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(6) To have the personal identity of such Participant verified by the Company; and
(7) Not to breach any provision of these Terms, etc.

2. Any Winner Candidate shall, after having received a notice from the Company that he/she is nominated as a winner candidate, submit the Submissions for Final Judgment on or before the designated date and communicate the matters requiring confirmation or response in relation to the Final Submissions and the Submissions for Final Judgment to the Company on or before the designated date, in accordance with the instructions of the Company. The Company shall carry out the final judgment based on such matters requiring confirmation or response. If the Company receives no confirmation or response satisfactory to the Company on or before the designated date, the Company may exclude such Winner Candidate from the subject of the final judgment and the Winner Candidate shall not raise any objection thereto.
3. If the Company considers that the Final Submissions or Submissions for Final Judgment need to be amended or modified, or there occur any additional matters requiring confirmation, in the course of the final judgment, any Winner Candidate shall take action or make response in relation to the matters that require amendment or modification, or the matters requiring confirmation, on or before the designated date in accordance with the instructions of the Company. If the Company receives no action or response satisfactory to the Company on or before the designated date, the Company may exclude such Winner Candidate from the final judgment and the Winner Candidate shall not raise any objection thereto.
4. The Company shall determine the Winner through the final judgment and inform the Winner to that effect.

Article 4 Confidentiality

1. Any Participant shall treat any information and data that they receive from the Company in relation to Competitions as well as knowledge and products, etc. obtained using such information and data (including Participant Submissions; hereinafter referred to as the “Company-Provided Information”) as confidential information and shall not disclose the same to any third party and use the same for any purpose other than for such Competition and purpose specified by the Company separately; provided, however, that the confidential information shall not include any information that falls under any of the following items:

(1) Information that is known to the public at the time it was received;
(2) Information that is already possessed by the Participant at the time it was received (only in the case where such Participant may demonstrate such fact by reasonable means);
(3) Information that becomes known to the public without the fault of the Participant after it was received;
(4) Information that is independently developed by the Participant without reference to any information received; or
(5) Information that is rightfully received from any third party having a right to disclose such information without the obligations of confidentiality (only in the case where such Participant may demonstrate such fact by reasonable means).

2. Any Winner shall handle his/her Final Submissions and Submissions for Final Judgment in the same manner as Company-Provided Information after receiving notification that they are a winner. And Participant Submissions other than the Winner’s Final Submissions and Submissions for Final Judgment shall not be included as Company-Provided Information after the Company has determined the Winner notwithstanding the provisions of the preceding paragraph.
3. Any Participant may publish any algorithms that they have developed as well as any other materials they have created in connection with their participation in a Competition (including Final Submissions and Submissions for Final Judgment) after that Competition in accordance with the Competition Information Disclosure Policy (hereinafter, "Information Disclosure Policy") posted on the Site. However, Participants shall observe the following matters when publishing information and may not publish any materials prohibited by the Information Disclosure Policy:

(1) Clarify that the materials were created in connection with participation in the Competition;
(2) Give credit in accordance with the notation method prescribed in the Information Disclosure Policy when the materials to be published contain part of a dataset; and
(3) Clarify the location accessible to all Participants (including but not limited to the Competition forum and other locations designated by the Company) where the materials are published (including links, etc.) if publishing materials outside the Competition forum.

4. Any Participant shall delete or return to the Company the Company-Provided Information (excluding the information prescribed in paragraph 3) immediately after the completion of a Competition.
5. If there is any separate arrangement in relation to the confidential information in a Competition, the provisions of such arrangement shall prevail over the provisions of these Terms.
6. If any dispute occurs between a third party and the Host or the Company due to the breach by any Participant of the provisions of this Article and such other party makes any claim against the Company or the Host, such Participant shall compensate for any damage, loss, expenses (including, but not limited to, attorneys’ fees), lost profits and lost revenues, etc. incurred by the Company and the Host.
7. The provisions of this Article shall survive the termination of the relevant Competition or the Participant’s completion of the procedures for withdrawal from all services provided by the Company, with respect to the Company-Provided Information and the Winner’s Final Submissions and Submissions for Final Judgment for a period of five (5) years thereafter.

Article 5 Prohibited Acts of Participants

1. The Company shall prohibit Participants from engaging in any of the following acts in any Competition:

(1) An act of cracking, cheating, spoofing and other misconduct;
(2) An act of redistributing data files included in the dataset;
(3) An act of directly communicating to, consulting with, making a request to, soliciting or responding to solicitation or other activities to other Participants or the Host (other than the Company) without the involvement of the Company for the purpose of furthering the Participant’s own interests;
(4) Any profitmaking activities using the Competition (including but not limited to solicitation or scouting activities, and use for a third party in educational business, etc.) without the prior approval of the Company in writing or any other manner specified by the Company;
(5) An Act of transferring, offering as collateral or otherwise disposing of the Participants’ standing, or the rights or obligations, as a Participant in any Competition (except with the prior written consent of the Company);
(6) Acts that infringe upon the intellectual property rights, trade secrets or any other rights of third parties; and
(7) Any other act in breach of these Terms, etc.

2. If the Company deems that a Participant has engaged in, or may engage in, any of the prohibited acts as prescribed in the preceding paragraph, the Company may, without prior notice to the Participant, disqualify the Participant from the Competition in which the Participant participates, temporarily suspend the Participant from using some or all of the services provided by the Company, withdraw the Participant’s membership, claim damages from the Participant or take any other measures deemed necessary by the Company.

Article 6 Modification of Terms

1. The Company may modify, add or delete any provisions of these Terms from time to time without the approval of Participants.

April 20, 2022