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.
Papers
Showing 1–10 of 10419 papers
All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Wide-ResNet-28-10 | Percentage correct | 98.15 | — | Unverified |
| 2 | ShortNet2-43 | Percentage correct | 94.52 | — | Unverified |
| 3 | TripleNet-B | Percentage correct | 94.33 | — | Unverified |
| 4 | ThreshNet79 | Percentage correct | 94.32 | — | Unverified |
| 5 | KNN | Percentage error | 77.93 | — | Unverified |
| 6 | TSVM | Percentage error | 66.55 | — | Unverified |
| 7 | M1+KNN | Percentage error | 65.63 | — | Unverified |
| 8 | M1+TSVM | Percentage error | 54.33 | — | Unverified |
| 9 | M1+M2 | Percentage error | 36.02 | — | Unverified |
| 10 | DGN | Percentage error | 36.02 | — | Unverified |