Update README.md

README.md

@@ -38,6 +38,14 @@ This model could be used to read labels with printed text.
 
 Here is the link to the dataset that I used for this model: https://www.kaggle.com/datasets/ravi02516/20k-synthetic-ocr-dataset
 
+_Character Length for Training Dataset:_
+
+![Input Character Length for Training Dataset](https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/raw/main/Optical%20Character%20Recognition%20(OCR)/20%2C000%20Synthetic%20Samples%20Dataset/Images/Input%20Character%20Length%20Distribution%20for%20Training%20Dataset.png)
+
+_Character Length for Evaluation Dataset:_
+
+![Input Character Length for Evaluation Dataset](https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/raw/main/Optical%20Character%20Recognition%20(OCR)/20%2C000%20Synthetic%20Samples%20Dataset/Images/Input%20Characgter%20Length%20Distribution%20for%20Evaluation%20Dataset.png)
+
 ## Training procedure
 
 ### Training hyperparameters
@@ -64,8 +72,6 @@ CER = 0.003 (Actually, 0.002896524170994806)
 
 *Note: Please make sure to give proper credit to the owner(s) of the data and developers of the model (microsoft/trocr-base-printed).
 
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 ### Model Checkpoint
 @misc{li2021trocr, title={TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models}, author={Minghao Li and Tengchao Lv and Lei Cui and Yijuan Lu and Dinei Florencio and Cha Zhang and Zhoujun Li and Furu Wei}, year={2021}, eprint={2109.10282}, archivePrefix={arXiv}, primaryClass={cs.CL}}