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README.md

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 ### Dataset Description
 
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-ImageNet (ILSVRC2012) is a large-scale dataset for visual recognition, consisting of 1,281,167 training images and 50,000 validation images across 1,000 object categories. The dataset was designed to facilitate large-scale image classification and object detection research. Each class contains a diverse set of images sourced from the web and manually annotated. The images are primarily in JPEG format and vary in resolution, with some noise in labels due to the large-scale collection process. The validation set consists of 50,000 images (50 per class) with high-quality annotations.
+ImageNet (ILSVRC2012) is a large-scale dataset for visual recognition, consisting of 1,281,167 training images and 50,000 validation images across 1,000 object categories. The dataset was designed to facilitate large-scale image classification and object detection research.
 
 ### Dataset Sources