paper-0148 · paper · 2023
Alexander Kirillov et al.
Promptable foundation model for segmentation.
Abstract
We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation. Using our efficient model in a data collection loop, we built the largest segmentation dataset to date (by far), with over 1 billion masks on 11M licensed and privacy respecting images. The model is designed and trained to be promptable, so it can transfer zero-shot to new image distributions and tasks. We evaluate its capabilities on numerous tasks and find that its zero-shot performance is impressive – often competitive with or even superior to prior fully supervised results. We are releasing the Segment Anything Model (SAM) and corresponding dataset (SA-1B) of 1B masks and 11M images at segment-anything.com to foster research into foundation models for computer vision. We recommend reading the full paper at: arxiv.org/abs/2304.02643. [OpenAlex]
Academic, score -0.1866
| Metric | Status | Value | Norm. | Weight | Contribution | Source | Confidence | License | Provenance |
|---|---|---|---|---|---|---|---|---|---|
| citation_count | present | 9116.0 | 0.04103 | 0.5 | 0.020515 | OpenAlex | high | OpenAlex, CC0 metadata | link |
| library_holdings | missing | recorded as missing, penalized by rule, never imputed | −0.1 | recorded as missing; penalized by rule, never imputed | |||||
| readership_persistence | present | 6.0 | 0.357143 | 0.05 | 0.017857 | OpenAlex | medium | OpenAlex, CC0 metadata | link |
| syllabus_adoptions | missing | recorded as missing, penalized by rule, never imputed | −0.125 | recorded as missing; penalized by rule, never imputed | |||||
Broad Influence, score -0.0489
| Metric | Status | Value | Norm. | Weight | Contribution | Source | Confidence | License | Provenance |
|---|---|---|---|---|---|---|---|---|---|
| citation_count | present | 9116.0 | 0.04103 | 0.2 | 0.008206 | OpenAlex | high | OpenAlex, CC0 metadata | link |
| library_holdings | missing | recorded as missing, penalized by rule, never imputed | −0.125 | recorded as missing; penalized by rule, never imputed | |||||
| readership_persistence | present | 6.0 | 0.357143 | 0.4 | 0.142857 | OpenAlex | medium | OpenAlex, CC0 metadata | link |
| syllabus_adoptions | missing | recorded as missing, penalized by rule, never imputed | −0.075 | recorded as missing; penalized by rule, never imputed | |||||
Governance Practitioner, score -0.2790
| Metric | Status | Value | Norm. | Weight | Contribution | Source | Confidence | License | Provenance |
|---|---|---|---|---|---|---|---|---|---|
| citation_count | present | 9116.0 | 0.04103 | 0.25 | 0.010258 | OpenAlex | high | OpenAlex, CC0 metadata | link |
| library_holdings | missing | recorded as missing, penalized by rule, never imputed | −0.15 | recorded as missing; penalized by rule, never imputed | |||||
| readership_persistence | present | 6.0 | 0.357143 | 0.1 | 0.035714 | OpenAlex | medium | OpenAlex, CC0 metadata | link |
| syllabus_adoptions | missing | recorded as missing, penalized by rule, never imputed | −0.175 | recorded as missing; penalized by rule, never imputed | |||||
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