Dataset versions & statistics#
Every MedVision annotation is produced by a versioned planner (1.0.0 through 1.4.0), and the exact set of benchmark samples depends on which planner version you load. This page collects the version guidance, the per-subtask index files, and the aggregate per-dataset statistics you need to know which numbers apply to your run.
For what a sample actually is (and why several instances of a target on one slice count once), see Dataset concepts. For the env var that toggles the sample filter, see Loading data.
Important
Leaderboard results use annotation v1.0.0. All published leaderboard numbers are computed on the v1.0.0 annotations, with ambiguous cases (multi-instance targets) removed during metric calculation as a workaround. For new studies we recommend the latest annotation version (currently v1.4.0), which is what MedVision_PLANNER_VERSION=latest resolves to.
Subtasks map to dataset subsets#
Each benchmark subtask corresponds to a subset of the MedVision dataset. The per-subtask sample sizes are tabulated for every dataset version 1.0.0–1.4.0 under dataset-info/:
These lists are generated by streaming each config from the dataset, so a subtask appears only if that pin can actually load it. They are therefore narrower than the aggregate counts below for two reasons the summaries do not model: MAMA-MIA and PI-CAI are unloadable at a 1.2.0 pin (their annotations were withdrawn and republished as 1.2.1), and the AFIDs / PDDCA / VerSe biometry plans are paused at every pin, so A/D covers only Ceph-Biometrics-400 and FeTA24.
Because the quantitative tasks require pixel→mm arithmetic, the distribution of pixel sizes (physical spacing) across subtasks is provided in pixel_sizes__ds_v1.0.0.
For the full description of the source datasets, modalities, anatomies, annotation types, and returned fields, see the Hugging Face dataset repo.
Per-dataset statistics (version-invariant)#
The modality / image / slice / segmentation statistics below are the same for every dataset version — only the benchmark-annotation counts (Box / T/L / A/D) depend on the planner version, and among those only T/L changes. Each row is version-invariant, but the set of rows is not: the table lists the 31 datasets present in 1.4.0, so its Total row is specific to that release. These numbers are computed from the local benchmark plans by script/misc/summarize_datasets.sh.
The Seg. annotations column counts segmentation-mask (MaskSize) annotations; these are tracked separately and are not part of the Box / T/L / A/D benchmark-annotation counts in the next section.
Per-dataset stats — modality, images, slices, segmentation
Dataset |
Modality |
3D Images |
3D Masks |
2D Slices |
Seg. annotations |
|---|---|---|---|---|---|
ACDC |
MRI |
300 |
300 |
43,962 |
94,160 |
AFIDs |
MRI |
72 |
0 |
432 |
0 |
AMOS22 |
CT, MRI |
360 |
360 |
251,637 |
1,215,776 |
AbdomenAtlas1.0Mini |
CT |
5,195 |
5,195 |
3,778,805 |
13,770,398 |
AbdomenCT-1K |
CT |
1,000 |
1,000 |
711,155 |
1,549,325 |
BCV15 |
CT |
60 |
60 |
34,472 |
125,870 |
BraTS24 |
MRI |
10,632 |
3,033 |
2,019,118 |
3,767,594 |
CAMUS |
ultrasound |
1,000 |
1,000 |
670,964 |
1,341,433 |
Ceph-Biometrics-400 |
X Ray |
400 |
0 |
7,600 |
0 |
CrossMoDA |
MRI |
105 |
105 |
14,115 |
16,623 |
DEEP-PSMA |
PET |
200 |
200 |
50,341 |
50,341 |
FLARE22 |
CT |
50 |
50 |
34,235 |
152,954 |
FeTA24 |
MRI |
80 |
80 |
35,776 |
153,599 |
HNTSMRG24 |
MRI |
300 |
300 |
56,078 |
62,424 |
ISLES24 |
MRI |
298 |
149 |
97,228 |
97,228 |
KiPA22 |
CT |
70 |
70 |
29,494 |
74,690 |
KiTS23 |
CT |
489 |
489 |
190,642 |
291,550 |
LIDC-IDRI |
CT |
1,013 |
1,013 |
73,976 |
73,976 |
LNQ2023 |
CT |
120 |
120 |
25,331 |
25,331 |
MAMA-MIA |
MRI |
1,506 |
1,506 |
214,408 |
214,408 |
MSD |
CT, MRI |
3,225 |
1,741 |
791,706 |
1,438,472 |
MSWAL |
CT |
484 |
484 |
108,246 |
125,126 |
OAIZIB-CM |
MRI |
507 |
507 |
358,728 |
922,989 |
PDDCA |
CT |
48 |
48 |
15,003 |
37,119 |
PI-CAI |
MRI |
425 |
425 |
42,857 |
42,857 |
SKM-TEA |
MRI |
310 |
155 |
173,690 |
475,828 |
ToothFairy2 |
CT |
480 |
480 |
397,531 |
2,131,223 |
TopCoW24 |
CT, MRI |
250 |
250 |
87,953 |
251,901 |
TotalSegmentator |
CT, MRI |
1,844 |
1,844 |
1,091,563 |
16,979,575 |
VerSe |
CT |
325 |
325 |
208,402 |
874,896 |
autoPET-III |
CT, PET |
2,076 |
1,038 |
360,638 |
360,638 |
Total (31) |
— |
33,224 |
22,327 |
11,976,086 |
46,718,304 |
Benchmark annotations by version#
The three quantitative tasks — Box (detection), T/L (tumor/lesion size), and A/D (biometrics) — contribute the benchmark-annotation counts. Only T/L annotations have ever been regenerated — most recently in 1.4.0, which regenerates all 12 T/L datasets (see below) — while Box and A/D are byte-identical in every release. A total can therefore move for either of two reasons: a T/L regeneration, or a release adding datasets.
v1.4.0: regenerated T/L annotations#
v1.4.0 regenerates the Tumor-Lesion-Size annotations of all 12 T/L datasets. Clusters are now selected by a physical size floor in millimetres — max(2.0 mm, 2 × the coarser in-plane spacing) of the measured plane — instead of a raw pixel count, a gate that silently discarded rotated ellipses is removed, and the ellipse fit is guarded against degenerate results (the method is described under Dataset concepts). Published T/L landmarks grow from 75,840 to 3,801,540 (50×); every other task and every previously published annotation file is unchanged. Full details are in the v1.4.0 release note.
Landmarks across all three planes, previous published version → v1.4.0:
Dataset |
From |
Landmarks |
Factor |
|---|---|---|---|
DEEP-PSMA |
1.2.0 |
753 → 156,439 |
208× |
LNQ2023 |
1.2.0 |
238 → 37,898 |
159× |
autoPET-III |
1.1.1 |
3,118 → 488,375 |
157× |
LIDC-IDRI |
1.2.0 |
515 → 59,179 |
115× |
MAMA-MIA |
1.2.1 |
5,071 → 369,419 |
73× |
PI-CAI |
1.2.1 |
409 → 28,324 |
69× |
BraTS24 |
1.1.1 |
26,198 → 1,645,550 |
63× |
MSD |
1.1.1 |
12,914 → 712,247 |
55× |
HNTSMRG24 |
1.1.1 |
3,188 → 69,093 |
22× |
MSWAL |
1.3.0 |
12,260 → 145,136 |
12× |
KiTS23 |
1.1.1 |
8,034 → 76,016 |
9.5× |
KiPA22 |
1.1.1 |
3,142 → 13,864 |
4.4× |
Total |
75,840 → 3,801,540 |
50× |
The loader still discards multi-cluster slices, so published sample counts grow by less than the raw landmark counts above.
Warning
The train/test split moved on six datasets. Case counts per split are unchanged, but which cases land on each side changes for HNTSMRG24 (47%), KiPA22 (43%), KiTS23 (43%), MSD (42%), autoPET-III (41%) and BraTS24 (41%) — their earlier splits were force-aligned to v1.0.0, and v1.4.0 is their first natural seeded split. Do not compare a v1.4.0 test-set metric against a pre-1.4.0 one on those six datasets, and re-derive any cached split.
Per-version annotation counts#
Each row below sums over the datasets its release contained — 31 for 1.3.0/1.4.0, 30 for 1.2.0, 22 for the others. 1.3.0 adds MSWAL without changing any annotation logic; 1.4.0 changes only the T/L counts, but changes them by a factor of 20:
Planner version |
Single-instance (filtered) |
Multi-instance (unfiltered) |
|---|---|---|
|
25,725,431 |
50,529,833 |
|
24,806,967 |
46,804,120 |
|
24,738,696 |
46,666,781 |
|
24,279,534 |
45,338,754 |
|
24,292,466 |
45,354,786 |
|
24,276,501 |
45,314,742 |
Each per-dataset cell reads total (Box … · T/L … · A/D …), and the donut figures show the same split — the outer ring by dataset, the inner ring by task. The figures and counts are generated from the local benchmark plans by script/misc/summarize_datasets.sh (source counts also saved as dataset_summary_filtered.json / dataset_summary_raw.json under each dataset-info/datasets_summary_v<version>/).
MedVision v1.4.0 (default) — donut + annotation counts
T/L regenerated across all 12 T/L datasets — see v1.4.0: regenerated T/L annotations above for what changed and why. Box and A/D counts are carried over from 1.3.0 unmodified.
Single-instance (filtered)
Multi-instance (unfiltered)
Dataset |
Single-instance (Box / T/L / A/D) |
Multi-instance (Box / T/L / A/D) |
|---|---|---|
ACDC |
14,271 (Box 14,271) |
94,160 (Box 94,160) |
AFIDs |
432 (A/D 432) |
432 (A/D 432) |
AMOS22 |
666,532 (Box 666,532) |
1,215,776 (Box 1,215,776) |
AbdomenAtlas1.0Mini |
9,748,290 (Box 9,748,290) |
13,770,398 (Box 13,770,398) |
AbdomenCT-1K |
1,041,588 (Box 1,041,588) |
1,549,325 (Box 1,549,325) |
BCV15 |
68,543 (Box 68,543) |
125,870 (Box 125,870) |
BraTS24 |
1,542,863 (Box 1,115,524 · T/L 427,339) |
5,413,144 (Box 3,767,594 · T/L 1,645,550) |
CAMUS |
951,370 (Box 951,370) |
1,341,433 (Box 1,341,433) |
Ceph-Biometrics-400 |
7,600 (A/D 7,600) |
7,600 (A/D 7,600) |
CrossMoDA |
4,076 (Box 4,076) |
16,623 (Box 16,623) |
DEEP-PSMA |
12,919 (Box 2,179 · T/L 10,740) |
206,780 (Box 50,341 · T/L 156,439) |
FLARE22 |
104,211 (Box 104,211) |
152,954 (Box 152,954) |
FeTA24 |
49,412 (Box 49,087 · A/D 325) |
153,924 (Box 153,599 · A/D 325) |
HNTSMRG24 |
75,949 (Box 32,029 · T/L 43,920) |
131,517 (Box 62,424 · T/L 69,093) |
ISLES24 |
9,774 (Box 9,774) |
97,228 (Box 97,228) |
KiPA22 |
50,708 (Box 37,647 · T/L 13,061) |
88,554 (Box 74,690 · T/L 13,864) |
KiTS23 |
176,716 (Box 114,491 · T/L 62,225) |
367,566 (Box 291,550 · T/L 76,016) |
LIDC-IDRI |
53,867 (Box 10,379 · T/L 43,488) |
133,155 (Box 73,976 · T/L 59,179) |
LNQ2023 |
7,355 (Box 1,653 · T/L 5,702) |
63,229 (Box 25,331 · T/L 37,898) |
MAMA-MIA |
158,492 (Box 67,767 · T/L 90,725) |
583,827 (Box 214,408 · T/L 369,419) |
MSD |
393,215 (Box 277,451 · T/L 115,764) |
2,150,719 (Box 1,438,472 · T/L 712,247) |
MSWAL |
138,692 (Box 60,106 · T/L 78,586) |
270,262 (Box 125,126 · T/L 145,136) |
OAIZIB-CM |
648,048 (Box 648,048) |
922,989 (Box 922,989) |
PDDCA |
15,208 (Box 15,076 · A/D 132) |
37,251 (Box 37,119 · A/D 132) |
PI-CAI |
28,219 (Box 5,455 · T/L 22,764) |
71,181 (Box 42,857 · T/L 28,324) |
SKM-TEA |
262,338 (Box 262,338) |
475,828 (Box 475,828) |
ToothFairy2 |
1,413,979 (Box 1,413,979) |
2,131,223 (Box 2,131,223) |
TopCoW24 |
41,829 (Box 41,829) |
251,901 (Box 251,901) |
TotalSegmentator |
7,603,455 (Box 7,603,455) |
16,979,575 (Box 16,979,575) |
VerSe |
351,811 (Box 350,311 · A/D 1,500) |
876,396 (Box 874,896 · A/D 1,500) |
autoPET-III |
83,669 (Box 31,794 · T/L 51,875) |
849,013 (Box 360,638 · T/L 488,375) |
Total (31) |
25,725,431 |
50,529,833 |
MedVision v1.3.0 — donut + annotation counts
Adds MSWAL (CT, 484 volumes). No annotation logic changed — every 1.2.0 count is carried over unmodified.
Single-instance (filtered)
Multi-instance (unfiltered)
Dataset |
Single-instance (Box / T/L / A/D) |
Multi-instance (Box / T/L / A/D) |
|---|---|---|
ACDC |
14,271 (Box 14,271) |
94,160 (Box 94,160) |
AFIDs |
432 (A/D 432) |
432 (A/D 432) |
AMOS22 |
666,532 (Box 666,532) |
1,215,776 (Box 1,215,776) |
AbdomenAtlas1.0Mini |
9,748,290 (Box 9,748,290) |
13,770,398 (Box 13,770,398) |
AbdomenCT-1K |
1,041,588 (Box 1,041,588) |
1,549,325 (Box 1,549,325) |
BCV15 |
68,543 (Box 68,543) |
125,870 (Box 125,870) |
BraTS24 |
1,131,404 (Box 1,115,524 · T/L 15,880) |
3,793,777 (Box 3,767,594 · T/L 26,183) |
CAMUS |
951,370 (Box 951,370) |
1,341,433 (Box 1,341,433) |
Ceph-Biometrics-400 |
7,600 (A/D 7,600) |
7,600 (A/D 7,600) |
CrossMoDA |
4,076 (Box 4,076) |
16,623 (Box 16,623) |
DEEP-PSMA |
2,273 (Box 2,179 · T/L 94) |
51,094 (Box 50,341 · T/L 753) |
FLARE22 |
104,211 (Box 104,211) |
152,954 (Box 152,954) |
FeTA24 |
49,412 (Box 49,087 · A/D 325) |
153,924 (Box 153,599 · A/D 325) |
HNTSMRG24 |
34,301 (Box 32,029 · T/L 2,272) |
65,612 (Box 62,424 · T/L 3,188) |
ISLES24 |
9,774 (Box 9,774) |
97,228 (Box 97,228) |
KiPA22 |
40,724 (Box 37,647 · T/L 3,077) |
77,832 (Box 74,690 · T/L 3,142) |
KiTS23 |
121,539 (Box 114,491 · T/L 7,048) |
299,584 (Box 291,550 · T/L 8,034) |
LIDC-IDRI |
10,796 (Box 10,379 · T/L 417) |
74,493 (Box 73,976 · T/L 517) |
LNQ2023 |
1,698 (Box 1,653 · T/L 45) |
25,569 (Box 25,331 · T/L 238) |
MAMA-MIA |
71,007 (Box 67,767 · T/L 3,240) |
219,479 (Box 214,408 · T/L 5,071) |
MSD |
283,577 (Box 277,451 · T/L 6,126) |
1,451,386 (Box 1,438,472 · T/L 12,914) |
MSWAL |
68,360 (Box 60,106 · T/L 8,254) |
137,386 (Box 125,126 · T/L 12,260) |
OAIZIB-CM |
648,048 (Box 648,048) |
922,989 (Box 922,989) |
PDDCA |
15,208 (Box 15,076 · A/D 132) |
37,251 (Box 37,119 · A/D 132) |
PI-CAI |
5,848 (Box 5,455 · T/L 393) |
43,266 (Box 42,857 · T/L 409) |
SKM-TEA |
262,338 (Box 262,338) |
475,828 (Box 475,828) |
ToothFairy2 |
1,413,979 (Box 1,413,979) |
2,131,223 (Box 2,131,223) |
TopCoW24 |
41,829 (Box 41,829) |
251,901 (Box 251,901) |
TotalSegmentator |
7,603,455 (Box 7,603,455) |
16,979,575 (Box 16,979,575) |
VerSe |
351,811 (Box 350,311 · A/D 1,500) |
876,396 (Box 874,896 · A/D 1,500) |
autoPET-III |
32,673 (Box 31,794 · T/L 879) |
363,756 (Box 360,638 · T/L 3,118) |
Total (31) |
24,806,967 |
46,804,120 |
MedVision v1.2.0 — donut + annotation counts
Single-instance (filtered)
Multi-instance (unfiltered)
Dataset |
Single-instance (Box / T/L / A/D) |
Multi-instance (Box / T/L / A/D) |
|---|---|---|
ACDC |
14,271 (Box 14,271) |
94,160 (Box 94,160) |
AFIDs |
432 (A/D 432) |
432 (A/D 432) |
AMOS22 |
666,532 (Box 666,532) |
1,215,776 (Box 1,215,776) |
AbdomenAtlas1.0Mini |
9,748,290 (Box 9,748,290) |
13,770,398 (Box 13,770,398) |
AbdomenCT-1K |
1,041,588 (Box 1,041,588) |
1,549,325 (Box 1,549,325) |
BCV15 |
68,543 (Box 68,543) |
125,870 (Box 125,870) |
BraTS24 |
1,131,404 (Box 1,115,524 · T/L 15,880) |
3,793,777 (Box 3,767,594 · T/L 26,183) |
CAMUS |
951,370 (Box 951,370) |
1,341,433 (Box 1,341,433) |
Ceph-Biometrics-400 |
7,600 (A/D 7,600) |
7,600 (A/D 7,600) |
CrossMoDA |
4,076 (Box 4,076) |
16,623 (Box 16,623) |
DEEP-PSMA |
2,273 (Box 2,179 · T/L 94) |
51,094 (Box 50,341 · T/L 753) |
FLARE22 |
104,211 (Box 104,211) |
152,954 (Box 152,954) |
FeTA24 |
49,412 (Box 49,087 · A/D 325) |
153,924 (Box 153,599 · A/D 325) |
HNTSMRG24 |
34,301 (Box 32,029 · T/L 2,272) |
65,612 (Box 62,424 · T/L 3,188) |
ISLES24 |
9,774 (Box 9,774) |
97,228 (Box 97,228) |
KiPA22 |
40,724 (Box 37,647 · T/L 3,077) |
77,832 (Box 74,690 · T/L 3,142) |
KiTS23 |
121,539 (Box 114,491 · T/L 7,048) |
299,584 (Box 291,550 · T/L 8,034) |
LIDC-IDRI |
10,796 (Box 10,379 · T/L 417) |
74,493 (Box 73,976 · T/L 517) |
LNQ2023 |
1,698 (Box 1,653 · T/L 45) |
25,569 (Box 25,331 · T/L 238) |
MAMA-MIA |
71,094 (Box 67,767 · T/L 3,327) |
219,525 (Box 214,408 · T/L 5,117) |
MSD |
283,577 (Box 277,451 · T/L 6,126) |
1,451,386 (Box 1,438,472 · T/L 12,914) |
OAIZIB-CM |
648,048 (Box 648,048) |
922,989 (Box 922,989) |
PDDCA |
15,208 (Box 15,076 · A/D 132) |
37,251 (Box 37,119 · A/D 132) |
PI-CAI |
5,850 (Box 5,455 · T/L 395) |
43,267 (Box 42,857 · T/L 410) |
SKM-TEA |
262,338 (Box 262,338) |
475,828 (Box 475,828) |
ToothFairy2 |
1,413,979 (Box 1,413,979) |
2,131,223 (Box 2,131,223) |
TopCoW24 |
41,829 (Box 41,829) |
251,901 (Box 251,901) |
TotalSegmentator |
7,603,455 (Box 7,603,455) |
16,979,575 (Box 16,979,575) |
VerSe |
351,811 (Box 350,311 · A/D 1,500) |
876,396 (Box 874,896 · A/D 1,500) |
autoPET-III |
32,673 (Box 31,794 · T/L 879) |
363,756 (Box 360,638 · T/L 3,118) |
Total (30) |
24,738,696 |
46,666,781 |
MedVision v1.1.1 — donut + annotation counts
Single-instance (filtered)
Multi-instance (unfiltered)
Dataset |
Single-instance (Box / T/L / A/D) |
Multi-instance (Box / T/L / A/D) |
|---|---|---|
ACDC |
14,271 (Box 14,271) |
94,160 (Box 94,160) |
AMOS22 |
666,532 (Box 666,532) |
1,215,776 (Box 1,215,776) |
AbdomenAtlas1.0Mini |
9,748,290 (Box 9,748,290) |
13,770,398 (Box 13,770,398) |
AbdomenCT-1K |
1,041,588 (Box 1,041,588) |
1,549,325 (Box 1,549,325) |
BCV15 |
68,543 (Box 68,543) |
125,870 (Box 125,870) |
BraTS24 |
1,131,404 (Box 1,115,524 · T/L 15,880) |
3,793,777 (Box 3,767,594 · T/L 26,183) |
CAMUS |
951,370 (Box 951,370) |
1,341,433 (Box 1,341,433) |
Ceph-Biometrics-400 |
7,600 (A/D 7,600) |
7,600 (A/D 7,600) |
CrossMoDA |
4,076 (Box 4,076) |
16,623 (Box 16,623) |
FLARE22 |
104,211 (Box 104,211) |
152,954 (Box 152,954) |
FeTA24 |
49,412 (Box 49,087 · A/D 325) |
153,924 (Box 153,599 · A/D 325) |
HNTSMRG24 |
34,301 (Box 32,029 · T/L 2,272) |
65,612 (Box 62,424 · T/L 3,188) |
ISLES24 |
9,774 (Box 9,774) |
97,228 (Box 97,228) |
KiPA22 |
40,724 (Box 37,647 · T/L 3,077) |
77,832 (Box 74,690 · T/L 3,142) |
KiTS23 |
121,539 (Box 114,491 · T/L 7,048) |
299,584 (Box 291,550 · T/L 8,034) |
MSD |
283,577 (Box 277,451 · T/L 6,126) |
1,451,386 (Box 1,438,472 · T/L 12,914) |
OAIZIB-CM |
648,048 (Box 648,048) |
922,989 (Box 922,989) |
SKM-TEA |
262,338 (Box 262,338) |
475,828 (Box 475,828) |
ToothFairy2 |
1,413,979 (Box 1,413,979) |
2,131,223 (Box 2,131,223) |
TopCoW24 |
41,829 (Box 41,829) |
251,901 (Box 251,901) |
TotalSegmentator |
7,603,455 (Box 7,603,455) |
16,979,575 (Box 16,979,575) |
autoPET-III |
32,673 (Box 31,794 · T/L 879) |
363,756 (Box 360,638 · T/L 3,118) |
Total (22) |
24,279,534 |
45,338,754 |
MedVision v1.1.0 — donut + annotation counts
Single-instance (filtered)
Multi-instance (unfiltered)
Dataset |
Single-instance (Box / T/L / A/D) |
Multi-instance (Box / T/L / A/D) |
|---|---|---|
ACDC |
14,271 (Box 14,271) |
94,160 (Box 94,160) |
AMOS22 |
666,532 (Box 666,532) |
1,215,776 (Box 1,215,776) |
AbdomenAtlas1.0Mini |
9,748,290 (Box 9,748,290) |
13,770,398 (Box 13,770,398) |
AbdomenCT-1K |
1,041,588 (Box 1,041,588) |
1,549,325 (Box 1,549,325) |
BCV15 |
68,543 (Box 68,543) |
125,870 (Box 125,870) |
BraTS24 |
1,134,663 (Box 1,115,524 · T/L 19,139) |
3,797,951 (Box 3,767,594 · T/L 30,357) |
CAMUS |
951,370 (Box 951,370) |
1,341,433 (Box 1,341,433) |
Ceph-Biometrics-400 |
7,600 (A/D 7,600) |
7,600 (A/D 7,600) |
CrossMoDA |
4,076 (Box 4,076) |
16,623 (Box 16,623) |
FLARE22 |
104,211 (Box 104,211) |
152,954 (Box 152,954) |
FeTA24 |
49,412 (Box 49,087 · A/D 325) |
153,924 (Box 153,599 · A/D 325) |
HNTSMRG24 |
35,158 (Box 32,029 · T/L 3,129) |
66,899 (Box 62,424 · T/L 4,475) |
ISLES24 |
9,774 (Box 9,774) |
97,228 (Box 97,228) |
KiPA22 |
40,724 (Box 37,647 · T/L 3,077) |
77,832 (Box 74,690 · T/L 3,142) |
KiTS23 |
126,962 (Box 114,491 · T/L 12,471) |
305,698 (Box 291,550 · T/L 14,148) |
MSD |
286,603 (Box 277,451 · T/L 9,152) |
1,455,092 (Box 1,438,472 · T/L 16,620) |
OAIZIB-CM |
648,048 (Box 648,048) |
922,989 (Box 922,989) |
SKM-TEA |
262,338 (Box 262,338) |
475,828 (Box 475,828) |
ToothFairy2 |
1,413,979 (Box 1,413,979) |
2,131,223 (Box 2,131,223) |
TopCoW24 |
41,829 (Box 41,829) |
251,901 (Box 251,901) |
TotalSegmentator |
7,603,455 (Box 7,603,455) |
16,979,575 (Box 16,979,575) |
autoPET-III |
33,040 (Box 31,794 · T/L 1,246) |
364,507 (Box 360,638 · T/L 3,869) |
Total (22) |
24,292,466 |
45,354,786 |
MedVision v1.0.0 (leaderboard) — donut + annotation counts
Single-instance (filtered)
Multi-instance (unfiltered)
Dataset |
Single-instance (Box / T/L / A/D) |
Multi-instance (Box / T/L / A/D) |
|---|---|---|
ACDC |
14,271 (Box 14,271) |
94,160 (Box 94,160) |
AMOS22 |
666,532 (Box 666,532) |
1,215,776 (Box 1,215,776) |
AbdomenAtlas1.0Mini |
9,748,290 (Box 9,748,290) |
13,770,398 (Box 13,770,398) |
AbdomenCT-1K |
1,041,588 (Box 1,041,588) |
1,549,325 (Box 1,549,325) |
BCV15 |
68,543 (Box 68,543) |
125,870 (Box 125,870) |
BraTS24 |
1,126,595 (Box 1,115,524 · T/L 11,071) |
3,778,687 (Box 3,767,594 · T/L 11,093) |
CAMUS |
951,370 (Box 951,370) |
1,341,433 (Box 1,341,433) |
Ceph-Biometrics-400 |
7,600 (A/D 7,600) |
7,600 (A/D 7,600) |
CrossMoDA |
4,076 (Box 4,076) |
16,623 (Box 16,623) |
FLARE22 |
104,211 (Box 104,211) |
152,954 (Box 152,954) |
FeTA24 |
49,412 (Box 49,087 · A/D 325) |
153,924 (Box 153,599 · A/D 325) |
HNTSMRG24 |
33,421 (Box 32,029 · T/L 1,392) |
63,840 (Box 62,424 · T/L 1,416) |
ISLES24 |
9,774 (Box 9,774) |
97,228 (Box 97,228) |
KiPA22 |
40,742 (Box 37,647 · T/L 3,095) |
77,785 (Box 74,690 · T/L 3,095) |
KiTS23 |
122,975 (Box 114,491 · T/L 8,484) |
300,090 (Box 291,550 · T/L 8,540) |
MSD |
284,923 (Box 277,451 · T/L 7,472) |
1,446,146 (Box 1,438,472 · T/L 7,674) |
OAIZIB-CM |
648,048 (Box 648,048) |
922,989 (Box 922,989) |
SKM-TEA |
262,338 (Box 262,338) |
475,828 (Box 475,828) |
ToothFairy2 |
1,413,979 (Box 1,413,979) |
2,131,223 (Box 2,131,223) |
TopCoW24 |
41,829 (Box 41,829) |
251,901 (Box 251,901) |
TotalSegmentator |
7,603,455 (Box 7,603,455) |
16,979,575 (Box 16,979,575) |
autoPET-III |
32,529 (Box 31,794 · T/L 735) |
361,387 (Box 360,638 · T/L 749) |
Total (22) |
24,276,501 |
45,314,742 |
Warning
Multi-instance annotations are not for leaderboard comparison. Do not use them to compare models on the leaderboard — the current MedVision-V0 SFT/RFT training is not optimized for multi-instance detection and measurement tasks.