Update README.md

README.md

@@ -41,7 +41,7 @@ The dataset contains the following field **`image`**, containing a color image.
 
 **Note:** All original annotations (including bounding boxes, segmentations, and captions) have been **removed** from this version of the dataset, as they are not required for image colorization tasks. During training, the grayscale version of the image can be generated on-the-fly from the color image.
 
-The final number of images in the dataset after filtering are **103,273** in the train split, compared to the original **118,287** images and **4017** in the validation split, compared to the original **5000** images.
+The final number of images in the dataset after filtering are **103,273** in the train split, compared to the original **118,287** images and **4016** in the validation split, compared to the original **5000** images.
 
 ## Curation Rationale
 This dataset was curated with the goal of training deep learning models to convert grayscale images into realistic color images, and advancing the state of the art in image colorization tasks. Since there are no dedicated datasets for image colorization, this dataset can be very helpful in such task. Existing datasets like [nickpai/coco2017-colorization](https://huggingface.co/datasets/nickpai/coco2017-colorization) have many black & white, heavily filtered, and other images not suitable for image colorization tasks.