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 # Training
 
-Run `train.py` to begin training. Each epoch trains on 120,000 images from the train and validate COCO sets, and tests on 5000 images from the validation set. An Nvidia GTX 1080 Ti will run about 16 epochs per day. Loss plots for the bounding boxes, objectness and class confidence should appear similar to results shown here (coming soon)
+Run `train.py` to begin training. Each epoch trains on 120,000 images from the train and validate COCO sets, and tests on 5000 images from the COCO validate set. An Nvidia GTX 1080 Ti will process ~16 epochs per day. Loss plots for the bounding boxes, objectness and class confidence should appear similar to results shown here (coming soon)
 ![Alt](https://github.com/ultralytics/yolov3/blob/master/data/coco_training_loss.png "training loss")
 
 # Inference
diff --git a/data/coco_training_loss.png b/data/coco_training_loss.png
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Binary files a/data/coco_training_loss.png and /dev/null differ