![]() ![]() features that identify children or facial hair) or label additional data for testing.īig thanks to generated. Use Keras ImageDataGenerator & flowfromdirectory class. So the size of the CSV files becomes super big. The problem with this approach is that the images are big in size (i need big images) and three channeled (color images). ![]() To enhance the effectiveness of the model, we could try a different neural network architecture, create descriptive features (e.g. My solutions Convert everything into a big CSV file. where |P(male) - P(female)| was smallest.Ĭhildren, indirect face angles and neutral hair cuts seem to confuse the model. To see where our model is struggling, we can also see where the model was most unsure, i.e. It would also appear that this dataset has many females wearing hats. Interesting! I see a lot of similarities in the general outline of males and the general outline of females (look at the hair!). Now let's see what our model classified as female: example, an input pipeline for your image classification task might look like. First, let's see the top 25 our model classified as male: CSV (comma-separated value) file that contains the filename and label. Not great, but a reasonable start considering we're working on a small 2,000 sample dataset. In the end, this model was able to predict sex with about 80% accuracy. To see the surrounding code, including data transformations and training parameters, check out all my work in this notebook. Note: To use it, we'll need to convert the images to grayscale and resize them to a resolution of 64圆4. I don't remember where I found this model, but it's good for small (1000-10000) image datasets. For a simple computer vision task,Įspecially a classification task, I like to start with a simple model that performs well on the MNIST digit dataset There are a lot of ways to choose a model to do training with. You can download the labels.csv here to continue following along. We could manuallyĬreate our labels using the universal data tool,īut since we're dealing with more than 100 images I'm going use the wao.aiĭownloading a csv from wao.ai, we get a CSV full of the labels we'll learn (shown below). To train our algorithm, we'll need to a sex label for each face. This dataset has two sets of fields: images and annotation meta-data. I repackaged all the images we'd use in this zip file so you can skip the resizing It will serve as a good example of how to encode different features into the TFRecord format. Click to download bondibeach.jpg Keras Image Processing API The Keras deep learning library provides utilities for working with image data. Convert *.jpg -resize 256x256 \ \ ! *.jpg Download the image and place it into your current working directory with the filename bondibeach.jpg.
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shades ending in "1" have yellow undertones. even then, when i first put it on, it was just a lil darker than my skin because it has neutral undertones, but it got darker and darker as the day went on. I was matched to a 040 but that foundation oxidizes wayyyyyyy too much at the end of the day. Is there anyone that has oily skin have luck with this product?Īnyone know any NC40 brand equivalencies?ĭior SKin Nude: 031. My skin for some reasons these days has been extra oily and my skin is extra sensitive to products with alot of oil in them. I want to try the new sculpt foundation but i heard it's not good for people with oily skin or someone that's acne prone. I might can wet a foundation brush and then apply but I have to test it out and see for sure. They claim you can build the coverage with this, but the only way I see this possible is by layering it over top of my studio tech or select spf15 liquid foundation. I asked an MA there and he thought it wasn't but I'm going to try another number just to be sure.Īs for the mineralized loose foundation poweder I think its great for everyday, on the go, sheer coverage. I love how studio tech covers and really don't need to use concealer with it but I bought this shade in the summer and I don't know if it's too dark or not in the winter. Mac Mineralized Loose Foundation Powder: Deeper Dark ![]() Wow I wonder if there are any NW47 on this board? Anyway, I'm a newbie to the board and here is what I use: however i do not like the formulation, for me it doesnt blend well at all. I went to prescriptives to get a custom blend foundation, i really liked the color it was light medium with A LOT, A LOT of pumps of olive (green) color. revlon age defying - dry skin 13 golden beige clinique supermoisture makeup - 10 beige (M-N) maybelline mineral power foundation - medium 0 makeup forever- liquid lift foundation - 31503, or is it 5? ![]() Nars balanced foundation- fiji, and Barcelona (this foundation oxidize sooo much!, it gets sooo much darker once you put it on your face) ![]() not much to choose from, and obvious enough. smashbox high definition healthy fx foundation - medium (it was one of those promo from smashbox that came in 4 color choices. mac studio fix fluid spf 15 - nc37 - once again a little too dark, its more for summer mac mineralized satinfinish spf 15 - nc37 -wayyyyyyyy to orangy, (i bought it when i was darker) mac studio sculpt: mix of nc25 and nc40 (i know 25 and 40 are a big difference, however nc40 and nc30 were almost identical, however i found nc40 had more yellow compared to nc30, and they didn't nc 27) (DOES ANYONE KNOW IF THE COLOR DOWN IS ALSO AS OLIVE AS 6?) giorgio armani luminous silk foundation- 6 (looooooove this one so much, however i have gotten lighter. 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