EGG
Description
Certainly! Here's a data description you can use for your project: --- *Data Description: Classification of Good and Bad Eggs (Ovum)* This dataset consists of over 500 images capturing both good and bad eggs (ovum) under controlled conditions. The images were acquired using a Realme Narzo 20 Pro mobile camera, ensuring consistency in quality and resolution. Each image is taken against a black background to enhance contrast and improve the visibility of egg features, with natural daylight providing consistent and neutral lighting conditions. *1. Data Acquisition:* - *Device Used:* Realme Narzo 20 Pro mobile camera. - *Resolution:* High-resolution images, typically around 48 MP, ensuring that fine details of the eggs are visible for precise classification. - *Background:* Black background was chosen to create a sharp contrast between the eggs and the background, minimizing distractions and helping in accurate segmentation during analysis. - *Lighting Condition:* Images were captured under daylight conditions, which provides natural and balanced lighting, reducing the chances of shadows or artificial lighting effects that could interfere with the classification process. *2. Dataset Composition:* - *Total Images:* The dataset comprises over 500 images, with a balanced number of good and bad eggs. - *Classes:* - *Good Eggs:* These are ova that meet the criteria for being viable, healthy, and ready for further biological processes. Characteristics such as shape, color, texture, and overall integrity are typically used for classification. - *Bad Eggs:* These ova are deemed non-viable due to factors such as deformities, discoloration, irregular shapes, or damage. These characteristics make them unsuitable for further biological processes. *3. Image Characteristics:* - *Image Dimensions:* Images maintain high resolution, ensuring that subtle differences between good and bad eggs can be observed. - *Focus and Clarity:* The use of a mobile camera with advanced AI enhancements ensures that images are in focus, capturing the eggs' surface texture and features clearly. - *File Format:* The images are stored in standard formats like JPEG or PNG, which are compatible with most image processing tools and machine learning frameworks. *4. Purpose and Application:* This dataset is intended for use in the classification and analysis of egg viability. It can be applied in machine learning algorithms aimed at distinguishing between good and bad eggs based on visual features. The high-quality images allow for detailed feature extraction, aiding in the development of robust models for automated classification. This description should comprehensively cover the key aspects of your dataset while staying within the 3000-character limit. Let me know if you need any modifications or additional details!