Why is ResNet the best?

Could you elaborate on why ResNet is often considered the best among its peers in the field of neural networks? What specific characteristics or advantages does it possess that sets it apart from other architectures? Are there any benchmarks or real-world applications where ResNet has demonstrated exceptional performance, and if so, could you provide some examples? As a practitioner in the field, what are your thoughts on why ResNet has gained such widespread popularity and acceptance?