Classification Models Comparison Table (PyTorch, ImageNet1K Weights)

The models listed here use weights trained on ImageNet-1K, specifically the IMAGENET1K_V1 and IMAGENET1K_V2 variants as provided by the PyTorch, sourced from torchvision.models library .

The table helps in giving a rough idea of which model best fits your use case—balancing accuracy, speed, and resource constraints. Selecting models not just for classification, but also for tasks like object detection, segmentation, and other vision pipelines where these models are used as feature extractors or backbones.