2D Tiny Object Detection

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Infrared dim-small target detection has gained increasing importance in both military and civilian applications due to its ability to detect thermal radiation, operate effectively at night, passively sense radiation, and offer strong concealment with high resistance to interference. These capabilities make it ideal for systems such as aircraft and bird surveillance, missile guidance, and maritime rescue operations. In these applications, the need for mid- to long-range observations often results in small targets that appear dim and are difficult to detect. This dataset, named SIRST-UAVB, provides infrared images captured in the 3–5 μm wavelength range using a mid-wave infrared camera, with a resolution of 640×512 pixels and shooting distances ranging from 100 to 800 meters. The dataset predominantly features small targets, which make up 94.3% of the total data and include unmanned aerial vehicles (UAVs) and birds. These targets are presented against complex backgrounds, such as skies, clouds, buildings, and vegetation, which introduce significant challenges. The combination of low signal-to-noise ratio (SNR), low signal-to-clutter ratio (SCR), and substantial background noise further complicates detection, as targets are easily obscured by environmental clutter.

This dataset comprises fractured and non-fractured X-ray images covering all anatomical body regions, including lower limb, upper limb, lumbar, hips, knees, etc. The dataset is categorized into train, test, and validation folders, each containing fractured and non-fractured radiographic images.

This dataset consists of both fractured and non-fractured X-ray images encompassing various anatomical regions of the body, such as the lower limb, upper limb, lumbar region, hips, knees, and more. It is organized into three main folders: train, test, and validation, each containing both fractured and non-fractured radiographic images. You can freely access the dataset via the following link: https://www.kaggle.com/datasets/bmadushanirodrigo/fracture-multi-region-x-ray-data/data