Checklist AICC 2025 Round 1 · Task 1
The Defected Nuts
Produce pixel-level anomaly maps for defective hazelnut images when only defect-free images are available for training.
The task
A chocolate factory's hazelnut inspection misses subtle defects such as hairline cracks, small cuts, holes and faint print contamination. A new system must flag defects at pixel level.
The training set contains 431 defect-free RGB PNG hazelnut images at 1024 × 1024 pixels; these are the only training data. The test set contains 70 images with defects (cracks, cuts, holes, print contamination) covering 0.23%–28% of the image, split 50/50 into Test A (visible leaderboard) and Test B (final leaderboard).
For each test image the contestant produces a 1024 × 1024 anomaly score map with values 0 (normal) to 255 (anomalous).
Abridged by SOTA from the official materials. The official statement has the exact rules, and it wins wherever this summary differs.
At a glance
- You get
data/train/1.png…431.png(defect-free) anddata/test/1.png…70.png(defective), all 1024 × 1024 RGB.- You submit
submission.csvwith columns id (index following sorted filenames) and data (Base85-encoded bytes of a uint8 1024 × 1024 map, values 0–255); non-conforming submissions score 0.- Scoring
- AUPRO (area under the per-region-overlap curve) up to a false-positive rate of 0.3, normalised by 1/0.3; each connected defect region is evaluated independently; range [0, 1], higher is better. The baseline scores 0.7492 on Leaderboard B.
- Rules
- The only pretrained model allowed is a standard ResNet18 pretrained on ImageNet (optional); no other pretrained models or datasets.
- Individual participation (maximum team size 1); at most 20 submissions per day.
- AICC contest rules (stated on each Kaggle rules page, not enforceable): no use of LLMs for writing code or getting task ideas; no internet use other than official library documentation and the contest platform; no communication with anyone during the contest; clarifications only via the #clarification-requests channel on the AICC Discord server.
- Format
- AICC Round 1 (November 2025), online on Kaggle; Kaggle competition window 15 Nov 2025 (about 18:50 UTC) – 16 Nov 2025 19:00 UTC.