This chapter provides a detailed overview of visual object tracking datasets, classified into general, specialized, and competition datasets, each tailored to distinct research needs. General datasets, such as OTB and GOT-10k, form the foundation of tracking research by offering standardized benchmarks that evaluate algorithm performance across diverse scenarios. Specialized datasets, including BioDrone and TOTB, focus on unique challenges such as bio-inspired flight dynamics and transparent object tracking, addressing niche areas of practical relevance. Competition datasets, exemplified by the VOT Challenge, drive innovation through dynamic evaluation frameworks that simulate real-world complexities, promoting collaboration and rigorous algorithm benchmarking. Together, these datasets establish a comprehensive ecosystem for advancing visual object tracking, bridging theoretical development and practical application.