ResNet-32 vs YOLOv8 Classification

ResNet-32 is a deep residual network for image classification introduced by Kaiming He et al. in December 2015. It is one of the smaller variants in the ResNet family, designed for classification on datasets such as CIFAR-10 and CIFAR-100 rather than ImageNet-scale tasks. Residual connections allow gradients to flow directly through skip connections, enabling training of significantly deeper networks than was previously practical.

ResNet-32 is commonly used in educational and research contexts as a lightweight classification baseline and as a starting point for fine-tuning on custom datasets with limited compute. The architecture is available through Meta's torchvision library. Larger ResNet variants such as ResNet-50 and ResNet-101 are more commonly used for production classification tasks on high-resolution imagery.

YOLOv8 Classification is the image classification variant of the YOLOv8 model family from Ultralytics, released in January 2023. Unlike the primary YOLOv8 detection and segmentation models, which predict bounding boxes or pixel masks, YOLOv8 Classification predicts a single class label for a full input image, supporting standard single-label image classification tasks. It shares the YOLOv8 backbone architecture, including the C2f (Cross-Stage Partial with 2 convolutions) module, with the detection variants, making it straightforward to use within the same Ultralytics training and inference workflow as other YOLOv8 tasks.

YOLOv8 Classification is released at five sizes: YOLOv8n-cls (nano, 2.7M parameters), YOLOv8s-cls (small, 6.4M), YOLOv8m-cls (medium, 17.0M), YOLOv8l-cls (large, 37.5M), and YOLOv8x-cls (extra-large, 57.4M). These variants allow users to trade off accuracy against inference speed and memory footprint. Pretrained checkpoints are provided for ImageNet classification at 224 pixel resolution, and the model can be fine-tuned on custom datasets using the Ultralytics Python API or command-line tools. The model supports export to common deployment formats including ONNX, TensorRT, CoreML, and TensorFlow Lite. YOLOv8 Classification is distributed under the AGPL-3.0 license, with an Enterprise License available from Ultralytics for proprietary deployments. The YOLOv8 family has since been succeeded by YOLO11 (September 2024) and YOLO26 (January 2026), each of which includes equivalent classification variants.