# Fine-grained Image Classification on Combined Biodiversity Benchmarks Weighted Avg Source: [Fine-grained Image Classification on Combined Biodiversity Benchmarks Weighted Avg]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:08:46.099Z Evaluation of Fine-grained Image Classification performance aggregated across various biodiversity benchmarks, reporting the Weighted Average Accuracy. 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) | Combined Biodiversity Benchmarks Weighted Avg | | Metric | Weighted Avg Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 6 of 6 | | 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 - [Weighted Avg Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Weighted Avg Accuracy | Result date | Report paper | | --- | --- | --- | --- | | BT-Clip-O | 70.8 | Not recorded | 68fa76b51e209131cea6e9a7 | | BT-Clip-M | 69.5 | Not recorded | 68fa76b51e209131cea6e9a7 | | BT-Clip-B | 67.2 | Not recorded | 68fa76b51e209131cea6e9a7 | | BioCLIP-B | 58.5 | Not recorded | 68fa76b51e209131cea6e9a7 | | MetaCLIP-L | 25 | Not recorded | 68fa76b51e209131cea6e9a7 | | OpenAI-B | 14.7 | Not recorded | 68fa76b51e209131cea6e9a7 | ### BT-Clip-O Weighted Avg Accuracy: 70.8. Result ID: 69944af83a6c3148491c50d7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B-16","Pre-training":"Fine-tuned from OpenAI-B","Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction. ### BT-Clip-M Weighted Avg Accuracy: 69.5. Result ID: 69944af83a6c3148491c50d9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-L-14","Pre-training":"Fine-tuned from MetaCLIP-L","Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction. ### BT-Clip-B Weighted Avg Accuracy: 67.2. Result ID: 69944af83a6c3148491c50d8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-B-16","Pre-training":"Fine-tuned from BioCLIP-B","Evaluation Protocol":"Fine-tuned"}. This record does not assert independent reproduction. ### BioCLIP-B Weighted Avg Accuracy: 58.5. Result ID: 69944af83a6c3148491c50d5. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-B-16","Pre-training":"BioCLIP","Evaluation Protocol":"Zero-shot"}. This record does not assert independent reproduction. ### MetaCLIP-L Weighted Avg Accuracy: 25. Result ID: 69944af83a6c3148491c50d6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-L-14","Pre-training":"MetaCLIP-cc","Evaluation Protocol":"Zero-shot"}. This record does not assert independent reproduction. ### OpenAI-B Weighted Avg Accuracy: 14.7. Result ID: 69944af83a6c3148491c50d4. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-B-16","Pre-training":"OpenAI","Evaluation Protocol":"Zero-shot"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.