# Fine-grained Image Classification on Cars (Base/Novel/Harmonic Mean) Source: [Fine-grained Image Classification on Cars (Base/Novel/Harmonic Mean)]() Collection index: [llms.txt]() Data updated: 2026-06-02T13:41:37.842Z Evaluation of Fine-grained Image Classification performance on the Cars dataset, specifically reporting Base, Novel, and Harmonic Mean 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 | Fine-grained Image Classification | | Dataset (including any stated split) | Cars | | Metric | Base Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 7 of 7 | | 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 - [Base Accuracy](): Higher is better; unit: PERCENT. - [Novel Accuracy](): Higher is better; unit: PERCENT. - [Harmonic Mean Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Base Accuracy | Result date | Report paper | | --- | --- | --- | --- | | ToolFG | 92.7 | Not recorded | 6a1e6454dbd7150506f859f6 | | PromptSRC | 75.2 | Not recorded | 6a1e6454dbd7150506f859f6 | | MaPLe | 72.7 | Not recorded | 6a1e6454dbd7150506f859f6 | | DiVE-k | 68.5 | Not recorded | 6a1e6454dbd7150506f859f6 | | Fine-R1 | 64 | Not recorded | 6a1e6454dbd7150506f859f6 | | ViRFT | 63.7 | Not recorded | 6a1e6454dbd7150506f859f6 | | Qwen2.5-VL-7B | 58.9 | Not recorded | 6a1e6454dbd7150506f859f6 | ### ToolFG Base Accuracy: 92.7. Result ID: 6a1edd74fbc373592c1b091c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Zero-shot":"true","Training":"mixed-dataset training"}. This record does not assert independent reproduction. ### PromptSRC Base Accuracy: 75.2. Result ID: 6a1edd74fbc373592c1b0918. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Zero-shot":"true","Training":"mixed-dataset training"}. This record does not assert independent reproduction. ### MaPLe Base Accuracy: 72.7. Result ID: 6a1edd74fbc373592c1b0917. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Zero-shot":"true","Training":"mixed-dataset training"}. This record does not assert independent reproduction. ### DiVE-k Base Accuracy: 68.5. Result ID: 6a1edd74fbc373592c1b091a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Zero-shot":"true","Training":"mixed-dataset training"}. This record does not assert independent reproduction. ### Fine-R1 Base Accuracy: 64. Result ID: 6a1edd74fbc373592c1b091b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Zero-shot":"true","Training":"mixed-dataset training"}. This record does not assert independent reproduction. ### ViRFT Base Accuracy: 63.7. Result ID: 6a1edd74fbc373592c1b0919. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Zero-shot":"true","Training":"mixed-dataset training"}. This record does not assert independent reproduction. ### Qwen2.5-VL-7B Base Accuracy: 58.9. Result ID: 6a1edd74fbc373592c1b0916. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Zero-shot":"true","Training":"mixed-dataset training"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.