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Flowers-102 Benchmark (Image Classification)
Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.
The archive carries no text for this table; the description above is the archive's text for the task Image Classification. archive 2025-07-28
Over time archive 2025-07-28
The chart needs JavaScript; the table below carries every value.
Direction inferred from the metric name, not from the archive: Accuracy (higher is better), FLOPS (lower is better), PARAMS (lower is better), Per-Class Accuracy (higher is better). Points are placed at the row's paper date; 52 of 52 rows carry one.
Results archive 2025-07-28
Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.
| Paper | Code | Ran Syntology | Report | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | CCT-14/7x2 | 99.76 | ✓ | Paper | Code | 2021 | 3 of 6 ran · 3 unverified | report | |||
| 2 | VIT-L/16 (Background) | 99.75 | ✓ | Paper | Code | 2023 | linked, not harvested | report | |||
| 3 | CvT-W24 | 99.72 | ✓ | Paper | Code | 2021 | 29 of 47 ran · 18 unverified | report | |||
| 4 | Bamboo (ViT-B/16) | 99.7 | ✓ | Paper | Code | 2022 | 3 of 3 ran · 0 unverified | report | |||
| 5 | 99.68 | – | Paper | Code | 2020 | 281 of 419 ran · 138 unverified | report | ||||
| 6 | EffNet-L2 (SAM) | 99.65% | ✓ | Paper | Code | 2020 | 8 of 20 ran · 12 unverified | report | |||
| 7 | ALIGN | 99.65% | ✓ | Paper | Code | 2021 | 8 of 10 ran · 2 unverified | report | |||
| 8 | BiT-L (ResNet) | 99.63 | ✓ | Paper | Code | 2019 | 3 of 10 ran · 7 unverified | report | |||
| 9 | ConvMLP-S | 99.5 | ✓ | Paper | Code | 2021 | 0 of 3 ran · 3 unverified | report | |||
| 10 | ConvMLP-L | 99.5 | ✓ | Paper | Code | 2021 | 0 of 3 ran · 3 unverified | report | |||
| 11 | ResNet-152x4-AGC (ImageNet-21K) | 99.49 | ✓ | Paper | Code | 2021 | linked, not harvested | report | |||
| 12 | BiT-M (ResNet) | 99.30 | ✓ | Paper | Code | 2019 | 3 of 10 ran · 7 unverified | report | |||
| 13 | Wide-ResNet-101 (Spinal FC) | 99.30 | ✓ | Paper | Code | 2020 | linked, not harvested | report | |||
| 14 | TResNet-L | 99.1% | ✓ | Paper | Code | 2020 | linked, not harvested | report | |||
| 15 | Grafit (RegNet-8GF) | 99.1% | ✓ | Paper | – | 2020 | no code linked | report | |||
| 16 | CaiT-M-36 U 224 | 99.1 | ✓ | Paper | Code | 2021 | 5 of 11 ran · 6 unverified | report | |||
| 17 | DAT | 98.9% | ✓ | Paper | – | 2020 | no code linked | report | |||
| 18 | EfficientNet-B7 | 98.8% | ✓ | Paper | Code | 2019 | 171 of 302 ran · 131 unverified | report | |||
| 19 | EfficientNetV2-L | 98.8 | ✓ | Paper | Code | 2021 | 41 of 79 ran · 38 unverified | report | |||
| 20 | GFNet-H-B | 98.8 | 54M | ✓ | Paper | Code | 2021 | 6 of 10 ran · 4 unverified | report | ||
| 21 | DeiT-B | 98.8% | 86M | ✓ | Paper | Code | 2020 | 12 of 19 ran · 7 unverified | report | ||
| 22 | CeiT-S (384 finetune resolution) | 98.6 | ✓ | Paper | Code | 2021 | 9 of 11 ran · 2 unverified | report | |||
| 23 | EfficientNetV2-M | 98.5 | ✓ | Paper | Code | 2021 | 41 of 79 ran · 38 unverified | report | |||
| 24 | ViT-B (attn finetune) | 98.5 | ✓ | Paper | Code | 2022 | 1 of 1 ran · 0 unverified | report | |||
| 25 | LeViT-384 | 98.3 | ✓ | Paper | Code | 2021 | 23 of 30 ran · 7 unverified | report | |||
| 26 | NAT-M4 | 98.3% | 400M | 4.2M | ✓ | Paper | Code | 2020 | 0 of 1 ran · 1 unverified | report | |
| 27 | ResNet-50x1-ACG (ImageNet-21K) | 98.21 | ✓ | Paper | Code | 2021 | linked, not harvested | report | |||
| 28 | CeiT-S | 98.2 | ✓ | Paper | Code | 2021 | 9 of 11 ran · 2 unverified | report | |||
| 29 | NAT-M3 | 98.1% | 250M | 3.7M | ✓ | Paper | Code | 2020 | 0 of 1 ran · 1 unverified | report | |
| 30 | ResNet50 (A1) | 97.9 | 4.1 | 25M | ✓ | Paper | Code | 2021 | 0 of 3 ran · 3 unverified | report | |
| 31 | EfficientNetV2-S | 97.9 | ✓ | Paper | Code | 2021 | 41 of 79 ran · 38 unverified | report | |||
| 32 | ResMLP24 | 97.9 | ✓ | Paper | Code | 2021 | 2 of 7 ran · 5 unverified | report | |||
| 33 | NAT-M2 | 97.9% | 195M | 3.4M | ✓ | Paper | Code | 2020 | 0 of 1 ran · 1 unverified | report | |
| 34 | TransBoost-ResNet50 | 97.85% | – | Paper | Code | 2022 | linked, not harvested | report | |||
| 35 | CeiT-T (384 finetune resolution) | 97.8 | ✓ | Paper | Code | 2021 | 9 of 11 ran · 2 unverified | report | |||
| 36 | LeViT-192 | 97.8 | ✓ | Paper | Code | 2021 | 23 of 30 ran · 7 unverified | report | |||
| 37 | LeViT-256 | 97.7 | ✓ | Paper | Code | 2021 | 23 of 30 ran · 7 unverified | report | |||
| 38 | ResMLP12 | 97.4 | ✓ | Paper | Code | 2021 | 2 of 7 ran · 5 unverified | report | |||
| 39 | CS-Parts | 96.9% | ✓ | Paper | Code | 2019 | linked, not harvested | report | |||
| 40 | CeiT-T | 96.9 | ✓ | Paper | Code | 2021 | 9 of 11 ran · 2 unverified | report | |||
| 41 | LeViT-128S | 96.8 | ✓ | Paper | Code | 2021 | 23 of 30 ran · 7 unverified | report | |||
| 42 | SEER (RegNet10B) | 96.3 | ✓ | Paper | Code | 2022 | linked, not harvested | report | |||
| 43 | NNCLR | 95.1 | ✓ | Paper | Code | 2021 | 4 of 5 ran · 1 unverified | report | |||
| 44 | ViT-B/16- SAM | 91.8 | ✓ | Paper | Code | 2021 | linked, not harvested | report | |||
| 45 | ViT-S/16- SAM | 91.5 | ✓ | Paper | Code | 2021 | linked, not harvested | report | |||
| 46 | ResNet-152-SAM | 91.1 | ✓ | Paper | Code | 2021 | linked, not harvested | report | |||
| 47 | ResNet-50-SAM | 90 | ✓ | Paper | Code | 2021 | linked, not harvested | report | |||
| 48 | Mixer-B/16- SAM | 90 | ✓ | Paper | Code | 2021 | linked, not harvested | report | |||
| 49 | MANO-tiny | 89.00 | ✓ | Paper | Code | 2025 | linked, not harvested | report | |||
| 50 | Mixer-S/16- SAM | 87.9 | ✓ | Paper | Code | 2021 | linked, not harvested | report | |||
| 51 | Diffusion Classifier (zero-shot) | 66.3 | – | Paper | Code | 2023 | 2 of 2 ran · 0 unverified | report | |||
| 52 | NAT-M1 | 152M | 3.3M | – | Paper | Code | 2020 | 0 of 1 ran · 1 unverified | report |
All 52 rows shown. 52 link to a paper page on this site; 48 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28
Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 35 rows have a graph line, from 21 distinct papers; 28 rows (18 papers) have at least one sample that ran. Counting each paper once: Syntology ran 611 of 999 samples; 388 unverified. Separately, 311 of those 999 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-24. Per-sample status is on the paper page.
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