By writing this post, I suppose I am starting a tradition since I wrote a worst of 2013 post last year.This time of year, there are many “best of” lists, and as I’ve already presented you with most of my best images of 2014, I decided once again to go the opposite direction once again and present the worst of the year.
First off, a disclaimer: the images presented here are not really my worst of the year. The truly worst of the worst get deleted off the memory card before downloading or are so truly horrible that they get deleted prior to my normal editing process. That said, all the images presented here would normally be deleted during my regular editing process without a second thought.
Generally editing and deleting bad images can be an educational experience if time is taken to think about why an image is bad. In other words, you can learn from your mistakes. However, when I took the time to pick the worst of the year and try to “save” them with post-processing, I found it an even more educational experience than just deleting. This is because in trying to “fix” the images, I went more in-depth into why they are bad and learned more about the limits of my post-processing work. You may want to try this exercise yourself sometime.
Now, before I start presenting these bad images, another further explanation. Last year several readers objected to my post, stating that some of my bad images were not actually very bad, and perhaps even likable. That may be true for an individual viewer, but when picking these shots, they were selected in context of my intent when shooting the image and in relation to the other images I took at the same time. For example, last year I presented a poorly exposed image of the Skagit Valley tulip fields that one reader liked. The image was made presentable by work in Lightroom, but when compared to the properly exposed images I took at the time, it was not very good. Further, the post-processing work that made it presentable caused the extreme noise in the image to be quite visible. Another consideration is the limits of presentation on the internet. A poorly focused image might look okay when presented as a 900-pixel wide image on the internet, but when zoomed into at 100%, it would look horrible. So take my word for it, these images are bad.
Okay, enough explanations and on to the bad stuff. Below are 11 of my worst images of 2014, one for each month from January through November. December is excluded because I failed to get out of my house and try to take any serious images. That in itself is a bad mistake, but I’ll leave my preference for a warm house to a rainy, cold day in the field for another post.
Each image below was shot in RAW. Except for the October image, two versions of each are presented, one without any post-processing (other than the default settings in Lightroom needed to convert a RAW file to a jpeg) and the other my attempt to “save” the image by processing in Lightroom. I few could have been further “saved” with extra processing in Photoshop, but that wasn’t worth my time. Proper technique in the field always is better than saving through post processing. With each of these images, a small adjustment in position or a correction in technique would have saved them more than any amount of processing.
Great series of “failures” and, of course, a lot of lessons to belearned 😉
I got a million of such shots, but sometimes I love to stick to the failed ones because of some inexplicable charme to those pictures…
I know what you mean. Sometimes I love a shot even though it is horrible and I can’t force myself to throw it away. Sometimes I try to even save them with processing, but it rarely works.
Nice work. When I get “bad ones” I usually just go ahead and hit the delete button without giving it much thought. After reading your post ……. maybe I should take more time to see just why it is a “bad one” . I take pictures of birds and sometimes the bad ones are the only ones, so I keep them anyways when that is the case and ever now and then I’ll go back to try”saving one” . Most of the time it don’t work out, but keep trying. Great post.
When folks come in to the camera shop I work at – with questions on why their photos are not working – the best thing they can do is to leave the photos on their card! If I can see the failure, I can diagnose if it is a camera issue, or a user issue. Learning from failure is one of the best ways of learning.
-Winfield
Thanks for commenting Winfield. I never thought about it, but I bet you get a lot of people asking what is wrong, thinking it’s the camera, when it’s not.
[…] a true believer in learning from one’s mistakes, though as you will see if you go back to the 2014 and 2013 posts, perhaps I need to keep re-learning some of the same issues over and over. So […]
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