Carrot Harvest Detection Dataset

The current agricultural industry faces severe challenges in improving crop production efficiency and reducing labor costs. Traditional manual harvesting methods are not only inefficient but also prone to mis-harvesting and missed collections. Existing automated detection solutions often lack precise detection capabilities for specific crops, resulting in low recognition rates. The Carrot Harvest Detection Dataset aims to provide high-quality image data to help researchers and companies develop smarter target detection algorithms to improve the efficiency of carrot harvesting. This dataset contains 5,000 images of carrot harvests, precisely annotated, suitable for research and development in the field of target detection. Data collection uses high-resolution digital cameras under natural lighting conditions to ensure a true reflection of the images. To ensure data quality, a multi-round annotation and expert review mechanism is used to check the consistency of the annotation results. Data is stored in JPEG format and organized by category and shooting time for easy subsequent retrieval and use.