LabEquipVis: An Image Dataset of Computer Laboratory Equipment Detection

𝑪𝒐𝒏𝒕𝒆𝒙𝒕 & 𝑴𝒐𝒕𝒊𝒗𝒂𝒕𝒊𝒐𝒏:
* Computer laboratory equipment is integral to education, research, and technological development.
* Smart lab automation is transforming educational and research environments by streamlining operations and boosting productivity.

𝑫𝒂𝒕𝒂𝒔𝒆𝒕 𝑪𝒐𝒎𝒑𝒐𝒔𝒊𝒕𝒊𝒐𝒏:
* Total of 2,584 original high-resolution images and 7,753 augmented images with proper labeling.
* Captured in the vibrant, real-world ambiance of East West University.
* Images acquired using an Oppo Reno8 Pro smartphone.

𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑳𝒂𝒃 𝑬𝒒𝒖𝒊𝒑𝒎𝒆𝒏𝒕 𝑪𝒍𝒂𝒔𝒔𝒆𝒔:
* 10 distinct classes covering a wide variety of appearances and shapes.
* Includes common computer laboratory equipment across different lighting and background conditions.

𝑨𝒏𝒏𝒐𝒕𝒂𝒕𝒊𝒐𝒏 & 𝑭𝒐𝒓𝒎𝒂𝒕:
* Annotated via the Roboflow platform for precise bounding-box labels.
* Provided in YOLO format to facilitate object detection benchmarks.
* Folder structure is provided in the readme file.