# Image Classification on Chicken Dataset Source: [Image Classification on Chicken Dataset]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:32:38.745Z Evaluation of Image Classification performance on the Chicken Dataset, reporting accuracy and energy consumption. 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) | Chicken Dataset | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 18 of 18 | | 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 - [Accuracy](): Higher is better; unit: PERCENT. - [Energy (J)](): Lower is better; unit: OTHER. - [Improvement Score](): Higher is better; unit: SCALAR. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Hybrid SNN | 98.32 | Not recorded | 695c96d653fdd5c361743320 | | Hybrid SNN | 97.42 | Not recorded | 695c96d653fdd5c361743320 | | ResTFG | 96.9 | Not recorded | 695c96d653fdd5c361743320 | | Xception | 96.4 | Not recorded | 695c96d653fdd5c361743320 | | Hybrid SNN | 95.63 | Not recorded | 695c96d653fdd5c361743320 | | Prunned EfficientNet-B0 | 95.1 | Not recorded | 695c96d653fdd5c361743320 | | Hybrid SNN | 94.51 | Not recorded | 695c96d653fdd5c361743320 | | densenet169 (ANN) | 90.67 | Not recorded | 695c96d653fdd5c361743320 | | Hybrid SNN | 90.59 | Not recorded | 695c96d653fdd5c361743320 | | densenet121 (ANN) | 90.54 | Not recorded | 695c96d653fdd5c361743320 | | ViT Hybrid SNN | 87.6 | Not recorded | 695c96d653fdd5c361743320 | | resnet34 (ANN) | 87.01 | Not recorded | 695c96d653fdd5c361743320 | | mobilenet\_v2 (ANN) | 86.96 | Not recorded | 695c96d653fdd5c361743320 | | mnasnet1\_0 (ANN) | 86.58 | Not recorded | 695c96d653fdd5c361743320 | | resnet18 (ANN) | 84.21 | Not recorded | 695c96d653fdd5c361743320 | | resnet50 (ANN) | 83.36 | Not recorded | 695c96d653fdd5c361743320 | | Hybrid SNN | 69.43 | Not recorded | 695c96d653fdd5c361743320 | | Hybrid SNN | 60.92 | Not recorded | 695c96d653fdd5c361743320 | ### Hybrid SNN Accuracy: 98.32. Result ID: 6999b3435698665ec42c0a80. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"mnasnet1\_0","Model Type":"Hybrid SNN","Integration Time (Tc)":"300ms"}. This record does not assert independent reproduction. ### Hybrid SNN Accuracy: 97.42. Result ID: 6999b3435698665ec42c0a7a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"resnet34","Model Type":"Hybrid SNN","Integration Time (Tc)":"300ms"}. This record does not assert independent reproduction. ### ResTFG Accuracy: 96.9. Result ID: 6999b3435698665ec42c0a86. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResTFG"}. This record does not assert independent reproduction. ### Xception Accuracy: 96.4. Result ID: 6999b3435698665ec42c0a85. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"Xception"}. This record does not assert independent reproduction. ### Hybrid SNN Accuracy: 95.63. Result ID: 6999b3435698665ec42c0a7c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"resnet18","Model Type":"Hybrid SNN","Integration Time (Tc)":"300ms"}. This record does not assert independent reproduction. ### Prunned EfficientNet-B0 Accuracy: 95.1. Result ID: 6999b3435698665ec42c0a88. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"Prunned EfficientNet-B0"}. This record does not assert independent reproduction. ### Hybrid SNN Accuracy: 94.51. Result ID: 6999b3435698665ec42c0a7e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"mobilenet\_v2","Model Type":"Hybrid SNN","Integration Time (Tc)":"300ms"}. This record does not assert independent reproduction. ### densenet169 (ANN) Accuracy: 90.67. Result ID: 6999b3435698665ec42c0a81. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"densenet169","Model Type":"ANN"}. This record does not assert independent reproduction. ### Hybrid SNN Accuracy: 90.59. Result ID: 6999b3435698665ec42c0a78. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"resnet50","Model Type":"Hybrid SNN","Integration Time (Tc)":"300ms"}. This record does not assert independent reproduction. ### densenet121 (ANN) Accuracy: 90.54. Result ID: 6999b3435698665ec42c0a83. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"densenet121","Model Type":"ANN"}. This record does not assert independent reproduction. ### ViT Hybrid SNN Accuracy: 87.6. Result ID: 6999b3435698665ec42c0a87. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ViT Hybrid SNN"}. This record does not assert independent reproduction. ### resnet34 (ANN) Accuracy: 87.01. Result ID: 6999b3435698665ec42c0a79. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"resnet34","Model Type":"ANN"}. This record does not assert independent reproduction. ### mobilenet\_v2 (ANN) Accuracy: 86.96. Result ID: 6999b3435698665ec42c0a7d. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"mobilenet\_v2","Model Type":"ANN"}. This record does not assert independent reproduction. ### mnasnet1\_0 (ANN) Accuracy: 86.58. Result ID: 6999b3435698665ec42c0a7f. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"mnasnet1\_0","Model Type":"ANN"}. This record does not assert independent reproduction. ### resnet18 (ANN) Accuracy: 84.21. Result ID: 6999b3435698665ec42c0a7b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"resnet18","Model Type":"ANN"}. This record does not assert independent reproduction. ### resnet50 (ANN) Accuracy: 83.36. Result ID: 6999b3435698665ec42c0a77. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"resnet50","Model Type":"ANN"}. This record does not assert independent reproduction. ### Hybrid SNN Accuracy: 69.43. Result ID: 6999b3435698665ec42c0a84. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"densenet121","Model Type":"Hybrid SNN","Integration Time (Tc)":"300ms"}. This record does not assert independent reproduction. ### Hybrid SNN Accuracy: 60.92. Result ID: 6999b3435698665ec42c0a82. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"densenet169","Model Type":"Hybrid SNN","Integration Time (Tc)":"300ms"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.