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2026-11-13

t50 blind vote: the live model stays

Alex rated 40 side-by-side pairs, live model v39 against the best retrain (T3-s0, the flip-bug fix). v39 won 20, T3-s0 won 14, 2 ties, 4 pairs where both were wrong. The live model stays and T3 does not ship.

Note: the pairs showed raw model output, before the production rules engine. Lines you see here are not what a customer scan would have shown.

What came up in his 17 comments

Defect Pairs Count
Double-plotted stripes (two lines on one physical stripe, breaks rule #8) 0f4a, 4e06, 8ab6, c9c1, fa36 5
Bottom stripe plotted off the luff / "aggressive tick up at the luff" 1d81, 33d0, 72eb, 7812 (also fa36 luff/leech accuracy) 4 (5 with fa36)
Photo has no draft stripes and doesn't belong in training c43a, c453, fdc4 3
Fisheye / shot from the mast, poor training photo 7812 1
A stripe missed entirely or half-missed 0f4a, 178c, 33d0, 783c, 94b1, f1b4 6

Some comments fall in more than one row. By side: the live model v39 double-plotted in 3 pairs (0f4a, 8ab6, c9c1), T3-s0 in 1 (4e06), and in fa36 he doesn't say which side. So this hits both models, not just the retrain.

Follow-ups from his comments: he thought the luff tick was fixed when a stripe runs off the photo (1d81), and he says the model should pick up battens instead of leaving those photos empty (c43a).

Would prod's rules have caught the double-plots?

Partly, by reading the code only (nothing was run or changed):

All 40 pairs

Pair Photo id His pick His comment
0421 6f61cdd9-eddf-4af7-8d24-e3de0d2a6813 v39 (live)
0608 2ca17e83-1dd5-458f-baa9-e90e2a6ef17a T3-s0
0f4a 35fc0a81-2982-4c5d-b251-866a49f8ae58 Both wrong Left is more accurate, although it double plots the bottom stripe and misses the top stripe. The right photo only picks up the mid stripe
178c 512489c3-71f1-41dd-9524-3b39fcbf35dc v39 (live) Left wins only because it picks up all four stripes, however, accuracy is terrible
190a 5996863e-b974-4d80-96f0-19af7f55ec85 v39 (live)
1aa0 190d9f80-319f-4c27-8bed-ef92baf42124 T3-s0
1d81 7a7f56c8-03db-4532-9c8e-a1933aa1c1b3 v39 (live) Left-hand picture is better, but both do the aggressive tech up on the laugh at the bottom stripe. I thought we’d fix this issue when the stripe is plotted off of the photo
33d0 5d155571-bab3-41aa-b810-e92e051130f7 Both wrong Both wrong, the left photo misses half of the middle stripe and plots the bottom stripe terribly. The right hand photo misses the top stripe and plots the bottom stripe better, but still wrong. too aggressive of a tick at the luff
4e06 674b015b-90b4-4669-98de-93fd769752ad v39 (live) Write is better but lack accuracy on the bottom stripe is not very good left photo again is double plotting stripes, which breaks our ground truth rules
57fd 464eb114-460a-456a-b044-8a205e8d8e1e v39 (live)
5b39 8f498974-2ae2-4734-b3aa-6a88df1dc490 v39 (live)
5eae 607171b7-d115-42ea-a29c-6b81eb4ecffc v39 (live)
64b5 48e9ec7a-a829-4567-9fe3-4ec196da9084 T3-s0
72eb 572af92a-2e2f-4df9-9c79-adb1fc45b054 v39 (live) Right is better but plots bottom stripe off of luff
7812 908215db-865f-48ab-9bde-d6c324f85253 T3-s0 Left wins on picking up all the stripes, but plots the stripes off of the luff. However, this is not a great training photo as the user has taken a picture in fish eye mode and from the mast instead of middle of the main sail
783c 410f4343-fbc6-461f-829c-fe5ddbcc4eb7 Both wrong Left photo picks up the top, but totally misses the middle and bottom stripe. Right hand photo picks up the bottom stripe that is terrible on accuracy
8ab6 68f95fda-ab6d-45b4-8caf-6f1c8fccef41 v39 (live) Left photo wins on picking up all the stripes, but it double plots the top stripe and the bottom stripe accuracy is not very good. The bottom stripe accuracy on the right hand photo is much better
8b36 7ddce43e-0625-40e6-bd09-b2db00224196 v39 (live)
8ea6 4de5f204-4cc9-48ba-a636-f444ae5a5017 T3-s0 Left is better, but misses the back drafting slight aspend on the bottom stripe
94b1 22fcf683-f5a4-41da-865c-13e828b15de0 v39 (live) Left better, but misses top two stripes
9900 6ff0668f-6f4b-443f-a9ea-773d57ee85ed v39 (live)
9a5c 2065a1fa-b7f1-42b1-978e-1e4aef33e016 v39 (live)
a208 2bbba290-c602-41b2-a1db-461b1cbadf44 T3-s0
a8b7 6e077c3c-ed86-4ad2-a157-ad9e0da6d522 Tie
b160 1c036663-7b5d-48c7-a128-d5a8409e473d v39 (live)
c43a 60a4604d-5f2d-43ba-a15a-95165913b9c0 v39 (live) Left photo marginally wins as it picks up a batten, honestly, not a great picture for the training data set, as there’s no draft stripes; however, the model should be able to pick up battens instead
c453 226f3f54-ba73-45f5-b63f-8eb2be321c49 Both wrong This photo shouldn’t be in the training set. There are no draft stripes on it
c9c1 78ad37b0-0176-4380-a916-9ddcc0272e45 T3-s0 The left photo is much better. Again, the right photo is double plotting stripes on top of each other, breaking our rules
dae0 69b0dc07-dca6-4eb0-9f00-7b68ec5c5066 T3-s0
de70 92336393-3a8d-4f9a-b835-0cf64f88d4cf v39 (live)
ded3 4e177a82-0612-4840-a480-3fb2cdfd75ec v39 (live)
dfbe 0c86676b-7599-41a5-b4f5-7c6bf7982d93 T3-s0
f129 15c82afe-cf8d-4c88-a191-4ebb0c055d32 v39 (live)
f1b4 29657778-5bd7-482b-9291-25e3152e52de T3-s0 Left better, but both miss top stripe, photo also traces middle stripe off of leech
f429 42017e33-890e-4c6d-a196-4540b68d8394 T3-s0
f470 3cad1a93-d14c-4edc-8639-f6b067be641d Tie
f866 911924e8-c9d1-4cd4-84db-047985436271 v39 (live)
fa36 50e49326-2ec8-4c88-a1a9-a2e85ab5415d T3-s0 Left is more accurate, but the leech accuracy is not very good nor the luff, on the right the bottom stripe and is wrong. I’m not sure why we’re double plotting stripes that breaks the rules we set
fb28 8e280018-7d29-4238-84e9-709f921a1aae T3-s0
fdc4 4a39377f-04c1-457c-9682-f114f64eb2c2 T3-s0 Right, more accurate, but this photo probably shouldn’t be in the training set as it doesn’t have draft stripes. However, I think the accuracy is good