Omkar2118/datasets huggingface dataset:
Real-CE

**Real-CE** is a real-world Chinese-English benchmark dataset for the task of STISR with the emphasis on restoring structurally complex Chinese characters. The benchmark provides 1,935/783 real LR-HR text image pairs (contains 33,789 text lines in total) for training/testing in 2× and 4× zooming modes, complemented by detailed annotations, including detection boxes and text transcripts.

Introducing paper: A Benchmark for Chinese-English Scene Text Image Super-resolution
MDOT

### Description
The consists of 92 groups of video clips with 113, 918 high resolution frames taken by two drones and 63 groups of video clips with 145, 875 high resolution frames taken by three drones.

Introducing paper: Multi-Drone based Single Object Tracking with Agent Sharing Network