Created at 08/11/2025 14:42
  1

Deep Learning Vision Model

  • Dataset Blue
    #1976d2
  • Bounding Box Red
    #d62828
  • Feature Lime
    #b5e48c
  • Gradient Gray
    #9e9e9e
  • Layer Violet
    #8e7cc3
  • Output White
    #fafafa
Loading...
The palette consists of Light colors. Accent colors Dataset Blue #1976d2 and Bounding Box Red #d62828. Palette has Cool, Warm, Neutral colors temperature.

By lightness, this palette runs from #1976D2 (darkest) to #FAFAFA (lightest). The lightness range is moderate.

Saturation is mixed — some muted swatches and some vivid accents.

Some hue pairs sit near complementary positions — you may read this as complementary contrast (loose heuristic).

Warm and cool swatches are fairly balanced.

HEX codes (sorted): #1976D2, #8E7CC3, #9E9E9E, #B5E48C, #D62828, #FAFAFA

Palette Deep Learning Vision Model has combination of 6 codes colors:
HEX: #1976d2, RGB: (25, 118, 210); HEX: #d62828, RGB: (214, 40, 40); HEX: #b5e48c, RGB: (181, 228, 140)
HEX: #9e9e9e, RGB: (158, 158, 158); HEX: #8e7cc3, RGB: (142, 124, 195); HEX: #fafafa, RGB: (250, 250, 250)
Simplified version of palette colors
Tint of steelblue, Shade of crimson, Shade of lightgreen, Tint of darkgrey, Shade of mediumpurple, Shade of whitesmoke
Color scheme was created by bad_colors

Colors codes in palette

Deep Learning Vision Model color codes HEX, RGB information in table

Color HEX RGB Name Alternative name
#1976d2 #1976d2 RGB(25, 118, 210)Dataset Blue
#d62828 #d62828 RGB(214, 40, 40)Bounding Box Red
#b5e48c #b5e48c RGB(181, 228, 140)Feature Lime
#9e9e9e #9e9e9e RGB(158, 158, 158)Gradient GrayGray62
#8e7cc3 #8e7cc3 RGB(142, 124, 195)Layer Violet
#fafafa #fafafa RGB(250, 250, 250)Output WhiteDr. White

Color Palette Contrast

8 color pairs have low contrast and need improvement which may impact readability.
Text Color Background Color Contrast Ratio
#1976d2
#d62828
1.08
#1976d2
#9e9e9e
1.71
#1976d2
#8e7cc3
1.27
#d62828
#9e9e9e
1.86
#d62828
#8e7cc3
1.38
#b5e48c
#9e9e9e
1.84

Image palette Deep Learning Vision Model png

Loading...
Loading...