# Fine-grained Image Classification on StanfordCars Harmonic Mean Source: [Fine-grained Image Classification on StanfordCars Harmonic Mean]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:59.321Z Evaluation of Fine-grained Image Classification performance on the StanfordCars dataset, specifically focusing on results derived using the Harmonic Mean calculation. 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 | Fine-grained Image Classification | | Dataset (including any stated split) | StanfordCars Harmonic Mean | | Metric | Accuracy | | 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 - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | FARL | 78.14 | Not recorded | 69326746d6b0dd33429344c6 | | MMRL | 78.06 | Not recorded | 69326746d6b0dd33429344c6 | | TCP | 77.32 | Not recorded | 69326746d6b0dd33429344c6 | | PLOT | 76.88 | Not recorded | 69326746d6b0dd33429344c6 | | MMA | 75.7 | Not recorded | 69326746d6b0dd33429344c6 | | MetaPrompt | 75.48 | Not recorded | 69326746d6b0dd33429344c6 | | ProVP | 73.67 | Not recorded | 69326746d6b0dd33429344c6 | | MaPLe | 73.47 | Not recorded | 69326746d6b0dd33429344c6 | | KgCoOp | 73.36 | Not recorded | 69326746d6b0dd33429344c6 | | CoCoOp | 72.01 | Not recorded | 69326746d6b0dd33429344c6 | | CoOp | 71.37 | Not recorded | 69326746d6b0dd33429344c6 | | CLIP | 68.65 | Not recorded | 69326746d6b0dd33429344c6 | ### FARL Accuracy: 78.14. Result ID: 699893e85698665ec4f5bec1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### MMRL Accuracy: 78.06. Result ID: 699893e85698665ec4f5bec0. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### TCP Accuracy: 77.32. Result ID: 699893e85698665ec4f5bebe. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### PLOT Accuracy: 76.88. Result ID: 699893e85698665ec4f5beba. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### MMA Accuracy: 75.7. Result ID: 699893e85698665ec4f5bebf. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### MetaPrompt Accuracy: 75.48. Result ID: 699893e85698665ec4f5bebd. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### ProVP Accuracy: 73.67. Result ID: 699893e85698665ec4f5bebc. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### MaPLe Accuracy: 73.47. Result ID: 699893e85698665ec4f5bebb. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### KgCoOp Accuracy: 73.36. Result ID: 699893e85698665ec4f5beb9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### CoCoOp Accuracy: 72.01. Result ID: 699893e85698665ec4f5beb8. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### CoOp Accuracy: 71.37. Result ID: 699893e85698665ec4f5beb7. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. ### CLIP Accuracy: 68.65. Result ID: 699893e85698665ec4f5beb6. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Protocol":"Base-to-novel generalization"}. This record does not assert independent reproduction. 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