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@@ -27,6 +27,11 @@ This YOLOv4 library, inspired by previous YOLOv3 implementations here:
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  ### Limitations and biases
 
 
 
 
 
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  ### How to use YOLOv4tflite
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  You can use this model to detect objects in an image of choice. Follow the following scripts to implement on your own!
 
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  ### Limitations and biases
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+ Object-recognition technology has improved drastically in the past few years across the industry, and it is now part of a huge variety of products and services that millions of people worldwide use. However, errors in object-recognition algorithms can stem from the training data used to create the system is geographically constrained and/or that it fails to recognize cultural differences.
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+ The COCO dataset used to train yolov4-tflite has been found to have annotation errors on more than 20% of images. Such errors include captions describing people differently based on skin tone and gender expression. This serves as a reminder to be cognizant that these biases already exist and a warning to be careful about the increasing bias that is likely to come with advancements in image captioning technology.
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  ### How to use YOLOv4tflite
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  You can use this model to detect objects in an image of choice. Follow the following scripts to implement on your own!