Top-1: 80.45Top-3: 91.68F1 - macro: 0.743
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Image Classification
Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.
<span class="description-source">Source: Metamorphic Testing for Object Detection Systems </span>
논문
Acc: 88.95
Accuracy: 98.56Precision: 99.94F1-Score: 99.24
Accuracy: 98.59Precision: 99.94F1-Score: 99.25
Accuracy: 98.68
Accuracy: 98.74Precision: 99.97F1-Score: 99.38
Accuracy: 96.90Precision: 99.91F1-Score: 98.38
Accuracy: 98.11Precision: 99.94F1-Score: 99.01
Percentage Average accuracy - 5 tasks: 46.5
Accuracy: 97.48Precision: 99.97F1-Score: 98.70
Accuracy: 98.68Precision: 99.91F1-Score: 99.29