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Advising Organization:Ocean Affairs Council
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感謝所有參賽者辛苦投入本次競賽,並順利完成初賽階段。各隊伍在競賽過程中展現了高度的熱情、創意與實力,讓本次競賽更加精彩。 經由本競賽系統評分機制評選後,以下十組隊伍順利晉級複賽: We sincerely thank all participants for their hard work and dedication in joining this competition and successfully completing the preliminary round. Throughout the competition, each team demonstrated great enthusiasm, creativity, and capability, making this event even more outstanding. After evaluation through the competition’s system scoring mechanism, the following ten teams have successfully advanced to the semi-final round:
| Ranking | Team Name | Score |
|---|---|---|
| 1 | 我這一生如履薄冰 | 0.8122707 |
| 2 | Vicsion | 0.8097440 |
| 3 | NCHUAIPC | 0.8096018 |
| 4 | 海博說用claude code虐你們 | 0.8081056 |
| 5 | chmod 777 | 0.8064870 |
| 6 | BlueTrace | 0.8049980 |
| 7 | 金采源是我老婆 | 0.8040203 |
| 8 | YOG | 0.8033844 |
| 9 | 檢測到我了 | 0.8029315 |
| 10 | 海克斯科技 | 0.8015095 |
恭喜以上晉級隊伍!請進入複賽的隊伍持續努力、全力以赴,期待各位在複賽中展現更亮眼的成果與精彩表現。 再次感謝所有參賽者的參與與付出,謝謝大家! Congratulations to all advancing teams! We encourage the teams entering the semi-final round to keep up the great work and give their best effort. We look forward to seeing your outstanding performances in the next stage. Once again, thank you to all participants for your participation and dedication.
As global attention on marine debris intensifies, leveraging AI to enhance governance efficiency has become a prominent international trend. To accelerate this digital transformation, the National Academy of Marine Research (NAMR) has established an AI-Ready marine debris dataset covering 33+1 distinct categories. To this end, NAMR is hosting the "International AI Challenge on Marine Debris Image Recognition," officially releasing this high-quality dataset this July as a training set for machine learning models. The competition openly invites global talent from fields such as artificial intelligence, computer vision, and marine science to step up to the challenge. By developing high-precision object detection models, participants will turn technological innovation into tangible environmental impact, working together to shape a smarter, more sustainable future for marine governance.
Teams ranked in the top 10 on the Private Leaderboard with an mAP@0.5 score of 0.6 or above will qualify for the Final Round. The Final Round offers a total prize pool of up to NT$300,000.
All event times are based on Taiwan Time (GMT+8).
| Date | Event |
|---|---|
| 2026/07/09 | Registration Opens |
| 2026/07/17 12:30~13:30 | Online Information Session |
| 2026/07/29 12:30~13:30 | Online Information Session |
| 2026/08/10 23:59:59 | Registration Deadline |
| 2026/08/15 | Preliminary Technical Workshop |
| 2026/08/15 09:00:00 | Test Set Released & Available for Download |
| 2026/08/15 09:00:00 | Submission for Preliminary Answers |
| 2026/09/01 23:59:59 | Deadline for Preliminary Submissions |
| 2026/09/03 | Announcement of Finalists |
The evaluation metric uses mean Average Precision (mAP)[1] at an Intersection over Union (IoU)[2] threshold of 0.5. A prediction bounding box is considered a True Positive (TP) if its IoU with the ground truth bounding box is greater than 0.5; otherwise, it is a False Positive (FP). Precision is then calculated based on TP and FP counts. The system evaluates the AP score for each object type and then averages the AP values across the 33+1 classes of marine debris objects to obtain the final mAP evaluation value, which determines the ranking.
The system uses the COCO API[3] to calculate the mAP values.
Reference
[1] Average Precision (AP): Average precision
[2] intersection over union (IoU): Jaccard index
[3] COCO API:
https://github.com/cocodataset/cocoapi