SwinV2 Base: Pre-trained Weights for ImageNet-22K

A set of pre-trained model weights for the Swin Transformer V2 Base architecture. The weights were likely trained on the ImageNet-22K dataset, a large-scale image classification benchmark. The dataset is hosted on Kaggle, but specific details about the author, license, and exact training parameters are not provided in the available metadata.

Use Cases

• Fine-tuning the model for custom image classification tasks (inferred from domain, verify after download)
• Using the weights as a feature extractor for transfer learning (inferred from domain, verify after download)
• Benchmarking model performance against other vision transformers (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science resources.
• Provides weights for a state-of-the-art Swin Transformer V2 architecture.

Limitations

• Metadata is minimal; actual content requires verification after download.
• License, author, and specific training details are unknown, which may affect usage rights and reproducibility.
• File formats and size are unknown, complicating download and integration planning.

Provenance

Source

Kaggle