# Aerial Image Classification on AIDER (test) Source: [Aerial Image Classification on AIDER (test)]() Collection index: [llms.txt]() Data updated: 2026-03-23T10:34:09.094Z Evaluation of Aerial Image Classification performance on the test split of the AIDER dataset, measured using F1-score, Precision, Recall, and inference speed (FPS). 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 | Aerial Image Classification | | Dataset (including any stated split) | AIDER (test) | | Metric | 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 - [F1 Score](): Higher is better; unit: PERCENT. - [Precision](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [Inference Speed (FPS)](): Higher is better; unit: SCALAR. ## Recorded results | Method | F1 Score | Result date | Report paper | | --- | --- | --- | --- | | VeloxNet | 81.57 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | SqueezeNet | 75.25 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | ConvNeXt V2 | 73.94 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | ShuffleNet | 73.45 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | MobileNetV1 | 73.13 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | MobileNetV2 | 72.94 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | EdgeViT | 71.74 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | EfficientNet | 67.6 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | MobileNetV3 | 63.96 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | ConvNeXt | 62.86 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | gMLP | 52.74 | Not recorded | 69c0c90b0636e5bf4afc3c21 | | FasterViT | 39.96 | Not recorded | 69c0c90b0636e5bf4afc3c21 | ### VeloxNet F1 Score: 81.57. Result ID: 69c1169447f34ce924a934a2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Parameters":"399,366","FLOPs (M)":"461","Size (MB)":"1.52"}. This record does not assert independent reproduction. ### SqueezeNet F1 Score: 75.25. Result ID: 69c1169447f34ce924a9349c. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Parameters":"740,970","FLOPs (M)":"806","Size (MB)":"2.85"}. This record does not assert independent reproduction. ### ConvNeXt V2 F1 Score: 73.94. Result ID: 69c1169447f34ce924a934a0. [Reporting paper]() Recorded evaluation configuration: {"Parameters":"27,870,341","FLOPs (M)":"4,455","Size (MB)":"106.32"}. This record does not assert independent reproduction. ### ShuffleNet F1 Score: 73.45. Result ID: 69c1169447f34ce924a9349a. [Reporting paper]() Recorded evaluation configuration: {"Parameters":"1,258,729","FLOPs (M)":"152","Size (MB)":"4.86"}. This record does not assert independent reproduction. ### MobileNetV1 F1 Score: 73.13. Result ID: 69c1169447f34ce924a93497. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Parameters":"3,212,101","FLOPs (M)":"588","Size (MB)":"12.34"}. This record does not assert independent reproduction. ### MobileNetV2 F1 Score: 72.94. Result ID: 69c1169447f34ce924a93498. [Reporting paper]() Recorded evaluation configuration: {"Parameters":"2,230,277","FLOPs (M)":"326","Size (MB)":"8.64"}. This record does not assert independent reproduction. ### EdgeViT F1 Score: 71.74. Result ID: 69c1169447f34ce924a934a1. [Reporting paper]() Recorded evaluation configuration: {"Parameters":"2,856,197","FLOPs (M)":"554","Size (MB)":"10.90"}. This record does not assert independent reproduction. ### EfficientNet F1 Score: 67.6. Result ID: 69c1169447f34ce924a9349b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Parameters":"3,812,005","FLOPs (M)":"396","Size (MB)":"14.69"}. This record does not assert independent reproduction. ### MobileNetV3 F1 Score: 63.96. Result ID: 69c1169447f34ce924a93499. [Reporting paper]() Recorded evaluation configuration: {"Parameters":"3,660,573","FLOPs (M)":"233","Size (MB)":"14.06"}. This record does not assert independent reproduction. ### ConvNeXt F1 Score: 62.86. Result ID: 69c1169447f34ce924a9349f. [Reporting paper]() Recorded evaluation configuration: {"Parameters":"27,823,973","FLOPs (M)":"4,455","Size (MB)":"106.14"}. This record does not assert independent reproduction. ### gMLP F1 Score: 52.74. Result ID: 69c1169447f34ce924a9349d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Parameters":"19,179,017","FLOPs (M)":"4,443","Size (MB)":"73.16"}. This record does not assert independent reproduction. ### FasterViT F1 Score: 39.96. Result ID: 69c1169447f34ce924a9349e. [Reporting paper]() Recorded evaluation configuration: {"Parameters":"3,168,005","FLOPs (M)":"612","Size (MB)":"12.09"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.