Datasets › ELEVATER
ELEVATER (Evaluation of Language-augmented Visual Task-level Transfer)
The ELEVATER benchmark is a collection of resources for training, evaluating, and analyzing language-image models on image classification and object detection. ELEVATER consists of:
- Benchmark: A benchmark suite that consists of 20 image classification datasets and 35 object detection datasets, augmented with external knowledge
- Toolkit: An automatic hyper-parameter tuning toolkit; Strong language-augmented efficient model adaptation methods.
- Baseline: Pre-trained language-free and language-augmented visual models.
- Knowledge: A platform to study the benefit of external knowledge for vision problems.
- Evaluation Metrics: Sample-efficiency (zero-, few-, and full-shot) and Parameter-efficiency.
- Leaderboard: A public leaderboard to track performance on the benchmark
The ultimate goal of ELEVATER is to drive research in the development of language-image models to tackle core computer vision problems in the wild.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Object Detection | ODinW Full-shot 35 Tasks | Grounding DINO 1.5 Pro AP 72.4 | Grounding DINO 1.5: Advance the "Edge" of Open-Set... | mit-han-lab/efficientvit +2 | 2 | Compare |
| Object Detection | ELEVATER | GLIP-T AP 62.6 | ELEVATER: A Benchmark and Toolkit for Evaluating... | microsoft/GLIP +8 | 1 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 25. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection | 3 | 1 | 16 May 2024 | ran 1 of 2 samples (1 unverified) |
| ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models | 9 | 2 | 19 Apr 2022 | ran 4 of 20 samples (16 unverified) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- ELEVATER
- ODinW Full-shot 35 Tasks
2 variant names, as the archive lists them.
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