Colour Calibration

Standards

I used to have a Greta Mcbeth colour calibration both small and large but lost the large one and only have the small one left. Just recently purchased the Datacolor SpyderCheckr| 24 but probably should have bought the| 48 patch version in a hard shell. I have just discovered that| 24 patch is the right side of the| 48 patch. So can use the calibration data from that for checking the DataColour Print.

Colour matching quote:

The color patches on the right half of the SpyderCHECKR, and those on the
SpyderCHECKR24 represent the standard| 24  colors used in a variety of color
products. These patches are near or within the sRGB color gamut to avoid
gamut clipping...

Datacolor Checkr calibration values

Datacolor used to publish the LAB values with a slightly poor pdf as of 2017:

This has been captured by Christoph Bartneck and converted into a table. I have corrected and reproduced the table here and added the annotation for the| 24 patch version:

NumberPatchNameL*a*b*sRsGsBaRaGaB
11ALow Sat. Red61.3534.8118.38210121117189121117
22ALow Sat. Yellow75.55.8450.422161799020517896
33ALow Sat. Green66.82-25.123.47127175120141174122
44ALow Sat. Cyan60.53-22.6-20.466157179103156177
55ALow Sat. Blue59.66-2.03-28.46116147194125146191
66ALow Sat. Magenta59.1530.83-5.72190121154172120151
71B10% Red Tint82.685.033.02218203201213202200
82B10% Green Tint82.25-2.423.78203205196202204195
93B10% Blue Unit82.292.2-2.04206203208204201206
104B90% Red Tone24.894.430.78665758666060
115B90% Green Tone25.16-3.882.13546156596359
126B90% Blue Tone26.132.61-5.03636069656371
131CLightest Skin85.429.4114.49237206186225202183
142CLighter Skin74.289.0527.21211175133200174134
153CModerate Skin64.5712.3937.241931499118014895
164CMedium Skin44.4917.2326.2413993611279365
175CDeep Skin25.297.958.87745546715850
186C95% Gray22.672.11-1.1575456595759
191D5% Gray92.721.892.76241233229238233229
202D10% gray88.851.592.27229222220226221219
213D30% Gray73.420.991.89182178176180177174
224D50% Gray57.150.571.19139136135137135134
235D70% Gray41.570.241.451009997999998
246D90% Gray25.651.240.05636162656364
251ECard White96.042.162.6249242238247242237
262E20% Gray80.441.172.05202198195199196193
273E40% Gray65.520.691.86161157154158156153
284E60% Gray49.620.581.56122118116120118115
295E80% Gray33.550.351.4808078818179
306ECard Black16.911.43-0.81434143464647
311FPrimary Cyan47.12-32.5-28.75012715939126157
322FPrimary Magenta50.4953.45-13.551927514516776141
333FPrimary Yellow83.613.3687.02245205023420437
344FPrimary Red41.0560.7531.1718626511593253
355FPrimary Green54.14-40.834.7557146649414571
366FPrimary Blue24.7513.78-49.4825551354158132
371GPrimary Orange60.9438.2161.312221183219611744
382GBlueprint37.87.3-43.0458881597089156
393GPink49.8148.515.7619579951708094
404GViolet28.8819.36-24.4883581067861104
415GApple Green72.45-23.660.471571885416518669
426GSunflower71.6523.7472.282361582521815746
431HAqua70.19-31.91.9898187166130186166
442HLavender54.388.84-25.71126125174125124171
453HEvergreen42.03-15.822.9382106609010665
464HSteel Blue48.82-5.11-23.088712015598119152
475HClassic Light Skin65.118.1418.68197145125183144125
486HClassic Dark Skin36.1314.1515.7811276601037763

Corrections

At the bottom of Barnecks table there are some comments about errors. I have assumed the LAB numbers are correct. I then used the original sRGB numbers to construct a plot:

{{ partial “svg” “datacolor24_a” }}

The Blueprint is clearly off when compared to my physical SpyderChekr24 sample. Stuart commented on Barnecks page square 2G has a typo by the way, it should be RGB 58/88/159

I recalculated all the sRGB values using python-colormath from the LAB values. Almost every value is off a little eg by 2, some by 3. The colour Blueprint 2G is clearly very different. My calculation has it as 58, 88, 159 and clearly wrong in the orginal Datacolor pdf. So this has been corrected to it.

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