# Surgical Phase Recognition on Autolaparo (10%) Source: [Surgical Phase Recognition on Autolaparo (10%)]() Collection index: [llms.txt]() Data updated: 2026-07-01T07:31:41.254Z Evaluation of surgical phase recognition performance on the 10% subset of the Autolaparo dataset, reporting Accuracy and F1-score. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Surgical Phase Recognition | | Dataset (including any stated split) | Autolaparo (10%) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 9 of 9 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. - [F1-score](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | HyperVLP | 60.1 | Not recorded | 6a449eeee0224bd4f4992db6 | | PeskaVLP | 53.1 | Not recorded | 6a449eeee0224bd4f4992db6 | | Moco | 49.9 | Not recorded | 6a449eeee0224bd4f4992db6 | | SurgVLP | 48.5 | Not recorded | 6a449eeee0224bd4f4992db6 | | HecVL | 46.9 | Not recorded | 6a449eeee0224bd4f4992db6 | | CLIP | 46.2 | Not recorded | 6a449eeee0224bd4f4992db6 | | Moco | 45.4 | Not recorded | 6a449eeee0224bd4f4992db6 | | CLIP | 45.3 | Not recorded | 6a449eeee0224bd4f4992db6 | | ImageNet | 44.9 | Not recorded | 6a449eeee0224bd4f4992db6 | ### HyperVLP Accuracy: 60.1. Result ID: 6a44c25c73d097d845be7271. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training Dataset":"SVL(VL)","Shot":"10","Linear probing":"true"}. This record does not assert independent reproduction. ### PeskaVLP Accuracy: 53.1. Result ID: 6a44c25c73d097d845be7270. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training Dataset":"SVL(VL)","Shot":"10","Linear probing":"true"}. This record does not assert independent reproduction. ### Moco Accuracy: 49.9. Result ID: 6a44c25c73d097d845be726a. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training Dataset":"SVL(V)","Shot":"10","Linear probing":"true"}. This record does not assert independent reproduction. ### SurgVLP Accuracy: 48.5. Result ID: 6a44c25c73d097d845be726e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Pre-training Dataset":"SVL(L)","Shot":"10","Linear probing":"true"}. This record does not assert independent reproduction. ### HecVL Accuracy: 46.9. Result ID: 6a44c25c73d097d845be726f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training Dataset":"SVL(L)","Shot":"10","Linear probing":"true"}. This record does not assert independent reproduction. ### CLIP Accuracy: 46.2. Result ID: 6a44c25c73d097d845be726c. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training Dataset":"NA(L)","Shot":"10","Linear probing":"true"}. This record does not assert independent reproduction. ### Moco Accuracy: 45.4. Result ID: 6a44c25c73d097d845be726b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training Dataset":"Cholec80","Shot":"10","Linear probing":"true"}. This record does not assert independent reproduction. ### CLIP Accuracy: 45.3. Result ID: 6a44c25c73d097d845be726d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Pre-training Dataset":"SVL(L)","Shot":"10","Linear probing":"true"}. This record does not assert independent reproduction. ### ImageNet Accuracy: 44.9. Result ID: 6a44c25c73d097d845be7269. [Reporting paper]() Recorded evaluation configuration: {"Pre-training Dataset":"ImageNet","Shot":"10","Linear probing":"true"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.