# Land Cover Classification on NAIP 2016 (test) Source: [Land Cover Classification on NAIP 2016 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:06:57.896Z Evaluation of Land Cover Classification performance on the test split of the NAIP 2016 dataset, reporting Top-1 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 | Land Cover Classification | | Dataset (including any stated split) | NAIP 2016 (test) | | Metric | Top-1 Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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 - [Top-1 Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Top-1 Accuracy | Result date | Report paper | | --- | --- | --- | --- | | MoCo-V2-Geo | 58.23 | Not recorded | 68fa6bf01e209131cea31076 | | MoCo-V2-Geo+TP | 57.63 | Not recorded | 68fa6bf01e209131cea31076 | | MoCo-V2-TP | 57.1 | Not recorded | 68fa6bf01e209131cea31076 | | MoCo-V2 | 55.18 | Not recorded | 68fa6bf01e209131cea31076 | | Sup. Learning (IN wts. init.) | 54.67 | Not recorded | 68fa6bf01e209131cea31076 | | Sup. Learning (Scratch) | 54.46 | Not recorded | 68fa6bf01e209131cea31076 | | Imagenet Init. | 53.46 | Not recorded | 68fa6bf01e209131cea31076 | | Random Init. | 51.89 | Not recorded | 68fa6bf01e209131cea31076 | ### MoCo-V2-Geo Top-1 Accuracy: 58.23. Result ID: 698ea9a6ffc3901de09f931e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"pre-train":"MoCo-V2-Geo"}. This record does not assert independent reproduction. ### MoCo-V2-Geo+TP Top-1 Accuracy: 57.63. Result ID: 698ea9a6ffc3901de09f9320. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"pre-train":"MoCo-V2-Geo+TP"}. This record does not assert independent reproduction. ### MoCo-V2-TP Top-1 Accuracy: 57.1. Result ID: 698ea9a6ffc3901de09f931f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"pre-train":"MoCo-V2-TP"}. This record does not assert independent reproduction. ### MoCo-V2 Top-1 Accuracy: 55.18. Result ID: 698ea9a6ffc3901de09f931d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"pre-train":"MoCo-V2"}. This record does not assert independent reproduction. ### Sup. Learning (IN wts. init.) Top-1 Accuracy: 54.67. Result ID: 698ea9a6ffc3901de09f931b. [Reporting paper]() Recorded evaluation configuration: {"pre-train":"Sup. Learning (IN wts. init.)"}. This record does not assert independent reproduction. ### Sup. Learning (Scratch) Top-1 Accuracy: 54.46. Result ID: 698ea9a6ffc3901de09f931c. [Reporting paper]() Recorded evaluation configuration: {"pre-train":"Sup. Learning (Scratch)"}. This record does not assert independent reproduction. ### Imagenet Init. Top-1 Accuracy: 53.46. Result ID: 698ea9a6ffc3901de09f931a. [Reporting paper]() Recorded evaluation configuration: {"pre-train":"Imagenet Init."}. This record does not assert independent reproduction. ### Random Init. Top-1 Accuracy: 51.89. Result ID: 698ea9a6ffc3901de09f9319. [Reporting paper]() Recorded evaluation configuration: {"pre-train":"Random Init."}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.