img imagewidth (px) 32 32 | label class label 10
classes | pixelmap dict | completions listlengths 8 16 |
|---|---|---|---|
6frog | {
"grid": " \n +:+ \n ~f~ \n :/;/~<~:==:+ \n ~///////oo~~~: \n ~///////ff////o~+ \n :#3;/2f/;f;;;;///~+ \n ~>%>~/ff;/;>>;;f//~= \n ~!%!AF/xxfx!%x;;f//~= \n ... | [
"Okay, I need to analyze this PixelMAP image and determine its class.\n\nFirst, I'll examine the colors. The palette contains a large number of green, yellow-green, and olive shades. Characters like `f` (#adb832ff), `/` (#989f26ff), `;` (#b8c634ff), `x` (#bbc74cff), and `%` (#dbd768ff) make up a large, central obje... | |
2bird | {
"grid": "=====-/*=-/:~<;_/<;<<>A~~~_1<<AA\n*-**F*:-%-X:><>Ao<;;;>~_a~A~<<<+\n--*X/_A/-aoA<<AAA><~_/-XXX/_~<;<\n:_/_<<<a/A..<<<AA_a~_/-X*3-_0~<;\nXX*:_/A~_><A~~AAAa/_~__/////__~>\n* *3*X**-:__~a--/::////:_____~>~\n Fxx* # C////**X/_a__/////////_\n ##*x3XX-X-a_~~~/////:/-**3*_\nx*-=fff4FFF #/-=/_*3-:::xF##==/\n4... | [
"Okay, let's analyze this `PixelMAP`. My primary method is to look at the colors and their distribution, as I'm better with colors than complex shapes.\n\nFirst, I'll examine the palette. The most prominent colors forming the central object are `%` (#798481ff) and `!` (#75817dff), which are distinct greyish-green s... | |
0airplane | {
"grid": "----==/ ////:::\n---0==2 /:::\n----==<A /// ///:::\n---0==~<: ////////:::\n---0==~<F //////::/:::\n---===~<; X ////////##/::#\n---===~<;/X ///:://////#######\n--..==~*!/XX //:/4######!!;\n--..==<*#/ aXX /::#4##!!;;;;*\n-... | [
"Okay, I need to analyze this pixel grid and figure out what it is. The classes are common objects.\n\nFirst, let's look at the colors in the `palette`. It's a very warm palette. I see a lot of oranges (`/`, `#`, `!`, `*`, `:`), browns (`-`, `=`, `~`, `<`, `f`), and yellows (`X`, `a`, `o`, `x`). There's also a very... | |
6frog | {
"grid": "#.##FFXXa---F2-FF__--1--#f--fo+X\n###-FXF-x.#aa#-----xx*ax#--XofX3\nF-x#-F##=~xfx.x;1###x a#x--_ooX\n-x#---#===a*~=x*a1x.#af*x-3#/_X_\nx-F-##~==afx==x*aax==x**a1f_-C__\na--##~~=a a==***%*a~0~1ooffX+C__\n--#.##~xof=xx*%*%%*1=0xo ff_oo+_\na#..x~=afx=x~%%*%%%1x.~* of_+C!\nf.=x==xax~axx****%%*1-#=f ffXX$+\na... | [
"Okay, let's break down this image. I need to identify the object from the ten available classes. My main strength is color analysis, so I'll start there.\n\nThe palette is overwhelmingly dominated by shades of green, brown, and grey. I see characters like `#` (#5e6557ff, dark green-grey), `~` (#555533ff, dark oliv... | |
2bird | {
"grid": "////////A===A/**%%%***~~~**%%%%:\n~~//////=;;;A/~**%***~~/~~*****%\n//AA====!!!!;__~****~//___~*****\n~/======;!!!;A_/**%~____;;_~~~**\n~A!!;=3==;;!;;_/*%%~+;++!!+/****\n~=!!!=/AA=;;;;_~%::*!;++!!!_***#\n/=!!!=///_+++=_%~~:~~/+!!!!F~*##\n~A=;;=3///_F;A%0:::0 -%+++++~###\n%/=====A//_/%% ########\n%... | [
"Okay, let's break this down. My primary strength is in color analysis, so I'll start there. The image background is a dense mixture of various shades of green, gray, and brown. I see characters like `~` (`#626c58ff`), `*` (`#566752ff`), `%` (`#4f5a4bff`), and `/` (`#6e776dff`). This palette strongly suggests an ou... | |
4deer | {
"grid": " %\n %\n % %\n % % %% \n %%% \n % \n %% % %0 \n %%% %% %0 \n % \n ... | [
"Okay, let's analyze this PixelMAP. My primary strength is color analysis, so I'll start there. The palette is dominated by earthy tones. I see a lot of dark, murky greens and browns making up the background, especially at the top and corners (characters like `%`, `#`, `A`). This suggests an outdoor, natural settin... | |
3cat | {
"grid": " -****=_3A+//////F-- --\n -F***~5_2=F///+///FX- -\n -- --F**/;65%a/////++///FX--\n ---- -***/F/Af!3#//////+++///:=\n - ----***F**;f!3A=///////+/+~A%\n - ----------Af!_%%a///////:~A%o\n --- ----Fof!_1o%~:////+~;%_%\n - --F3!!o#1xx1#aa=~A%_41\n F%5_%1%x___x%o1%_<C#\n ... | [
"Okay, I need to figure out what this image represents from the ten available classes. The image is a low-resolution grid of characters.\n\nFirst, I'll analyze the colors. The background is very dark, made up of characters like `-`, `*`, `F`, and `/`, which map to black and dark gray colors in the palette. This mak... | |
3cat | {
"grid": "!:#***::***#:**::---------*X/<<<\n!!!**:::**..:**:----------*X///<\n!_!.*:##.**##**....-.-*a>->X////\n!_!.*:##***##..#..##.-a/>->X////\n!_+:.###.;*###...#;aa>;~;;;;X/;;\n!!!######~.######;;;;/~.#>>;A;_1\n!!!+#####.#####;;///=/a>_>;;;f0;\n_++_+!#######;;3=== =aa*_>//;_0;\n_++++_####.;;;;= =X>.#>==;;;;\n!... | [
"Okay, analyzing the image. The palette is dominated by dark, earthy tones (`!`, `#`, `_`, `*`), various shades of grey and off-white (`/`, `=`, `<`), and a distinct patch of pinks (`%`, `F`, `x`).\n\nThe overall composition shows a central figure against a dark, undefined background. The main figure is primarily c... | |
0airplane | {
"grid": "##////#######/_~~~~/#////####/*#\n####//###//#/a4>>>43/########*##\n#a_~/###ff*aA/####*##a;;aa;/FFF/\no!==A/a//a/_!aa//-a//A==_:=;!==a\nox=:Ax=A!=!!!==x~==;#/x!!::/a:_#\n/::=::=:=:x:=:::===F*~=_==:ax!o/\n-x:!_xxFxx_!!!!~!==--x;/ax!_xa*/\n/-a//----------a!:!/-FF;a-//////\n/-;__;;;_____;//_~A~x:xAAo*#////\n/... | [
"Okay, let's break this down. My task is to identify the object in this low-resolution image. I need to focus on colors and basic shapes.\n\nFirst, I'll look at the color palette and its distribution in the grid. There's a lot of blue and blue-gray. The characters `#`, `/`, `a`, and `f` correspond to shades of blue... | |
1automobile | {
"grid": "<<f<foo<oo.o..o= ==+==<o....==f=\n<.<=.o<foo.oo<<+=======>x.><.<==\n==<=..f=<<.oo<<+===ff====<>...==\n==+=====f=<<<f====<f<++ =======\n+> ====+!!===+ ======!! + !=/ =\n!!!!/ //// / !! + ///////--/\n/-//------/-/-//--// //////--//-\n//---/////////-////A-// ///\n ! !//!! #C..= + =+=+ \n ... | [
"Okay, let's analyze this PixelMAP. My task is to classify the image.\n\nFirst, I'll look at the colors and their distribution. I see a large, somewhat rectangular block in the middle-left of the image composed of very light grey and beige characters like `%`, `4`, `;`, and `5`. The hex codes like `#d5dcc9ff` (%) a... | |
2bird | {
"grid": "...A_A##A+#.#F##.#_++A#AX.AA###X\n#.##~#A+A+A.##+#.#+#XXAXX##A####\nF..##++a_~+#F++#.##.F+A####+#.##\nF#.#++a!:::+aa++#X#.#++X#AAa###.\nF##+a__::f*__++~FF##F+#++++a~++#\n+##+:!:::ff:f::_+#F#F+a+++_:_~XF\n:+++a!f*ff<<%**f!a+o#F++++_ff_AA\n2ff2:_+2*< ==7>>>!#oXXFFo#A:*5:_\n2f< <:-_ *%=7>6!0F-#++XFFA++:f*f\nF... | [
"Okay, I need to analyze this PixelMAP image and figure out which of the 10 classes it belongs to. My strength is in colors, so I'll start there.\n\nLooking at the palette, the colors are overwhelmingly earthy. I see a lot of dark browns (`#`, `A`, `F`), mid-tone browns (`f`, `*`, `:`), and lighter tans or beiges (... |
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