Fine-Tuned Swin Transformer for Plant Classification

This blog explores fine-tuning a Swin Transformer model for agricultural plant classification using transfer learning and contrastive learning techniques.

Plant classification is important in various industries, including agriculture, environmental monitoring, and research. Traditionally, plant identification relied on manual methods, which can be slow, labor-intensive, and prone to errors. AI-driven models, particularly in computer vision, have made a significant impact by automating this process, improv…