From 2e5c72321f988a0ee49363a09e503ac9990ecc8c Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Tue, 11 Dec 2018 19:46:15 +0100 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fd529607..f34943f5 100755 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ Python 3.7 or later with the following `pip3 install -U -r requirements.txt` pac 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 about 10-15 epochs/day depending on image size and augmentation (13 epochs/day at 416 pixels with default augmentation). Loss plots for the bounding boxes, objectness and class confidence should appear similar to results shown here (results in progress to 160 epochs, will update). -![Alt](https://github.com/ultralytics/yolov3/blob/master/data/coco_training_loss.png "coco training loss") +![Alt](https://user-images.githubusercontent.com/26833433/49822374-3b27bf00-fd7d-11e8-9180-f0ac9fe2fdb4.png "coco training loss") ## Image Augmentation