# Object Affordance Labeling on CAD-120 Source: [Object Affordance Labeling on CAD-120]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:52:44.454Z Evaluation of Object Affordance Labeling performance on the CAD-120 dataset, measured using micro and macro precision/recall metrics. 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 | Object Affordance Labeling | | Dataset (including any stated split) | CAD-120 | | Metric | Micro F1 Score | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 12 of 12 | | 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 - [Micro F1 Score](): Higher is better; unit: PERCENT. - [Macro Precision](): Higher is better; unit: PERCENT. - [Macro Recall](): Higher is better; unit: PERCENT. ## Recorded results | Method | Micro F1 Score | Result date | Report paper | | --- | --- | --- | --- | | full model | 91.8 | Not recorded | 68fa60f41e209131ce9f1f03 | | no object interactions | 88.4 | Not recorded | 68fa60f41e209131ce9f1f03 | | full model with tracking | 88.2 | Not recorded | 68fa60f41e209131ce9f1f03 | | no temporal interactions | 87 | Not recorded | 68fa60f41e209131ce9f1f03 | | object only | 86.9 | Not recorded | 68fa60f41e209131ce9f1f03 | | full, multi-seg learning | 83.9 | Not recorded | 68fa60f41e209131ce9f1f03 | | full, 1 segment. (best) | 83.1 | Not recorded | 68fa60f41e209131ce9f1f03 | | full, 1 segment. (averaged) | 81.3 | Not recorded | 68fa60f41e209131ce9f1f03 | | full, multi-seg learning + tracking | 79.4 | Not recorded | 68fa60f41e209131ce9f1f03 | | SVM multiclass | 75.6 | Not recorded | 68fa60f41e209131ce9f1f03 | | image only | 74.2 | Not recorded | 68fa60f41e209131ce9f1f03 | | max class | 65.7 | Not recorded | 68fa60f41e209131ce9f1f03 | ### full model Micro F1 Score: 91.8. Result ID: 698bcb3c7a967eddb77167ad. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Temporal segmentation":"Ground-truth"}. This record does not assert independent reproduction. ### no object interactions Micro F1 Score: 88.4. Result ID: 698bcb3c7a967eddb77167ac. [Reporting paper]() Recorded evaluation configuration: {"Temporal segmentation":"Ground-truth"}. This record does not assert independent reproduction. ### full model with tracking Micro F1 Score: 88.2. Result ID: 698bcb3c7a967eddb77167ae. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Temporal segmentation":"Ground-truth"}. This record does not assert independent reproduction. ### no temporal interactions Micro F1 Score: 87. Result ID: 698bcb3c7a967eddb77167ab. [Reporting paper]() Recorded evaluation configuration: {"Temporal segmentation":"Ground-truth"}. This record does not assert independent reproduction. ### object only Micro F1 Score: 86.9. Result ID: 698bcb3c7a967eddb77167aa. [Reporting paper]() Recorded evaluation configuration: {"Temporal segmentation":"Ground-truth"}. This record does not assert independent reproduction. ### full, multi-seg learning Micro F1 Score: 83.9. Result ID: 698bcb3c7a967eddb77167b1. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Temporal segmentation":"None (Estimated)"}. This record does not assert independent reproduction. ### full, 1 segment. (best) Micro F1 Score: 83.1. Result ID: 698bcb3c7a967eddb77167af. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Temporal segmentation":"None (Estimated)"}. This record does not assert independent reproduction. ### full, 1 segment. (averaged) Micro F1 Score: 81.3. Result ID: 698bcb3c7a967eddb77167b0. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Temporal segmentation":"None (Estimated)"}. This record does not assert independent reproduction. ### full, multi-seg learning + tracking Micro F1 Score: 79.4. Result ID: 698bcb3c7a967eddb77167b2. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Temporal segmentation":"None (Estimated)"}. This record does not assert independent reproduction. ### SVM multiclass Micro F1 Score: 75.6. Result ID: 698bcb3c7a967eddb77167a9. [Reporting paper]() Recorded evaluation configuration: {"Temporal segmentation":"Ground-truth"}. This record does not assert independent reproduction. ### image only Micro F1 Score: 74.2. Result ID: 698bcb3c7a967eddb77167a8. [Reporting paper]() Recorded evaluation configuration: {"Temporal segmentation":"Ground-truth"}. This record does not assert independent reproduction. ### max class Micro F1 Score: 65.7. Result ID: 698bcb3c7a967eddb77167a7. [Reporting paper]() Recorded evaluation configuration: {"Temporal segmentation":"Ground-truth"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.