IoTKITs

Description

This dataset contains annotated images of educational embedded boards, including popular models such as Arduino Uno, Arduino Nano, Arduino Mega, Raspberry Pi (various versions), ESP32, and similar microcontroller-based platforms. The images were collected from various sources such as Google Image Search, Kaggle datasets, Roboflow Universe, and original photographs captured by the authors. Each image is annotated using the Smart Polygon feature in Roboflow, which provides high-precision segmentation by labeling object boundaries with polygons instead of conventional bounding boxes. This allows for more accurate object detection, especially for boards with irregular shapes and connectors. The dataset is intended for use in object detection tasks, particularly in computer vision applications related to embedded systems, STEM education, and automated electronics recognition.

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