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evaluation · needs review

Cell-DINO ViT-L: protein localization classification

Evaluation procedure

Self-supervised microscopy embedding pre-trained on HPA-FoV; downstream protein-localization classifier. Dataset-specific pretraining; the paper does not claim a general-purpose foundation model that generalizes beyond these benchmarks.

Model
Cell-DINO ViT-L
Benchmark
protein localization classification
Dataset
HPA-FoV
origin
Author-reported evaluation
configuration
Not reported
protocol id
Not reported
dataset version
Not reported
split
Not reported
population
Not reported
inputs
Not reported
adaptation
Not reported
metric implementation
Not reported
aggregation
Not reported
budget
Not reported

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Evaluation results

Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
Cell-DINO ViT-L: protein localization classification

Self-supervised microscopy embedding pre-trained on HPA-FoV; downstream protein-localization classifier. Dataset-specific pretraining; the paper does not claim a general-purpose foundation model that generalizes beyond these benchmarks.

Author-reported evaluation · Evaluation metadata: needs review

65.5% F1

Unit: percent · Direction: unknown

Uncertainty: not reported in legacy extract

Scored: Not reported · Eligible: Not reported

source checkedCell-DINO: Self-supervised image-based embeddings for cell fluorescent microscopy · Table 2, HPA-FoV section, Cell-DINO row, PL column

Source checking is not independent reproduction.

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: needs review

Download this release
Technical metadata and extraction receipts

Stable ID: evaluation-lit-b4-015

areas
cells-tissues
tasks
protein localization classification
origin
author_reported
protocol
Self-supervised microscopy embedding pre-trained on HPA-FoV; downstream protein-localization classifier. Dataset-specific pretraining; the paper does not claim a general-purpose foundation model that generalizes beyond these benchmarks.
version
Not reported
comparison
protocol id: Not reported; dataset version: Not reported; split: Not reported; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
missing metadata
model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
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