Question: I know it may be a too board question... I have googled a lot, and find there are [APIs](https://cloud.google.com/vision/) for general object recognition, but the result is inaccurate for "Game Roles in Game Scenario".

I wonder is there any open source project, or commerce API, or procedures to do:

1. judge whether one picture is an Game Picture?
2. judge which Game it comes from if I could give some training data (labeled game pictures with game name) ?
3. detect which game role (maybe type, like it's a car but no need to tell it's BMW, but car is much better recognized) it has?

As I am new to this field, any suggestions are appreciated, I guess it's related with deep learning, I know Tensorflow/Theano/Torch but I never used them in image field before.

Answer: 
It is better to read it in a `list` rather than creating multiple objects in the global env, i.e. 

```
files <- sprintf("hello%d_mynameis.csv", number)
library(data.table)
lapply(files, function(x) fread(x)[, sum(A5 %chin% c("My", "Name"))]) 

```
Use a `paste` function:

```
number <- c(100, 110, 120)
df <- list()

for (i in number) {
    file <- paste0("hello", i, "_mynameis.csv")
    df[[i]] <- read.csv(file, header=FALSE)
} 

```