# Image Classification on ImageNet (test) (Category Accuracy Breakdown) Source: [Image Classification on ImageNet (test) (Category Accuracy Breakdown)]() Collection index: [llms.txt]() Data updated: 2026-07-01T07:28:09.500Z Evaluation of Image Classification performance on the ImageNet test set, reporting Top-1 Accuracy broken down across specific categories (Animals, Objects, Overall). 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 | Image Classification | | Dataset (including any stated split) | ImageNet (test) | | Metric | Top-1 Accuracy (Animals) | | 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 - [Top-1 Accuracy (Animals)](): Higher is better; unit: PERCENT. - [Top-1 Accuracy (Objects)](): Higher is better; unit: PERCENT. - [Top-1 Accuracy (Overall)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Top-1 Accuracy (Animals) | Result date | Report paper | | --- | --- | --- | --- | | AC3S | 96.76 | Not recorded | 6a449eede0224bd4f4992d8d | | Text2Img | 96.33 | Not recorded | 6a449eede0224bd4f4992d8d | | 3D-DST | 96.25 | Not recorded | 6a449eede0224bd4f4992d8d | | Baseline | 96.16 | Not recorded | 6a449eede0224bd4f4992d8d | | 3D-DST | 95.39 | Not recorded | 6a449eede0224bd4f4992d8d | | AC3S | 95.14 | Not recorded | 6a449eede0224bd4f4992d8d | | Baseline | 94.03 | Not recorded | 6a449eede0224bd4f4992d8d | | Text2Img | 93.52 | Not recorded | 6a449eede0224bd4f4992d8d | | AC3S | 92.66 | Not recorded | 6a449eede0224bd4f4992d8d | | 3D-DST | 91.98 | Not recorded | 6a449eede0224bd4f4992d8d | | Text2Img | 91.89 | Not recorded | 6a449eede0224bd4f4992d8d | | Baseline | 91.3 | Not recorded | 6a449eede0224bd4f4992d8d | ### AC3S Top-1 Accuracy (Animals): 96.76. Result ID: 6a44c18873d097d845be6545. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Swin-S","Pre-training Data":"Synthetic","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### Text2Img Top-1 Accuracy (Animals): 96.33. Result ID: 6a44c18873d097d845be653f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Swin-S","Pre-training Data":"Synthetic","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### 3D-DST Top-1 Accuracy (Animals): 96.25. Result ID: 6a44c18873d097d845be6542. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"Swin-S","Pre-training Data":"Synthetic","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### Baseline Top-1 Accuracy (Animals): 96.16. Result ID: 6a44c18873d097d845be653c. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"Swin-S","Pre-training Data":"None","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### 3D-DST Top-1 Accuracy (Animals): 95.39. Result ID: 6a44c18873d097d845be6541. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ConvNeXt-S","Pre-training Data":"Synthetic","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### AC3S Top-1 Accuracy (Animals): 95.14. Result ID: 6a44c18873d097d845be6544. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ConvNeXt-S","Pre-training Data":"Synthetic","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### Baseline Top-1 Accuracy (Animals): 94.03. Result ID: 6a44c18873d097d845be653b. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ConvNeXt-S","Pre-training Data":"None","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### Text2Img Top-1 Accuracy (Animals): 93.52. Result ID: 6a44c18873d097d845be653e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ConvNeXt-S","Pre-training Data":"Synthetic","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### AC3S Top-1 Accuracy (Animals): 92.66. Result ID: 6a44c18873d097d845be6543. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Pre-training Data":"Synthetic","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### 3D-DST Top-1 Accuracy (Animals): 91.98. Result ID: 6a44c18873d097d845be6540. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Pre-training Data":"Synthetic","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### Text2Img Top-1 Accuracy (Animals): 91.89. Result ID: 6a44c18873d097d845be653d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Pre-training Data":"Synthetic","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. ### Baseline Top-1 Accuracy (Animals): 91.3. Result ID: 6a44c18873d097d845be653a. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Pre-training Data":"None","Evaluation Protocol":"Fine-tuned to ImageNet"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.