Poultry Quantity Statistics Dataset

The current agricultural industry faces significant challenges in monitoring poultry quantity. Traditional manual statistical methods are inefficient and subject to subjective factors, resulting in inaccurate data. Existing solutions mostly rely on manpower, lack automation, and cannot meet large-scale monitoring needs. This dataset aims to provide high-quality poultry quantity image data to support the training of automated object detection algorithms, improving the efficiency and accuracy of poultry quantity statistics. The dataset contains 5000 labeled images, covering poultry images of different species and environments. Data collection is conducted with professional photographic equipment in actual farming environments to ensure the authenticity and diversity of images. For quality control, multiple rounds of labeling and expert review ensure consistency and accuracy in data annotation. The data is stored in JPG format, with a clear organizational structure for quick retrieval and processing.