Image analysis of leaves to predict species.
a data frame
From the original manuscript: "The Flavia dataset contains 1907 leaf images. There are 32 different species and each has 50-77 images. Scanners and digital cameras are used to acquire the leaf images on a plain background. The isolated leaf images contain blades only, without a petiole. These leaf images are collected from the most common plants in Yangtze, Delta, China. Those leaves were sampled on the campus of the Nanjing University and the Sun Yat-Sen arboretum, Nanking, China."
The reference below has details information on the features used for prediction.
Columns:
species
: factor (32 levels)
apex
: factor (9 levels)
base
: factor (6 levels)
shape
: factor (5 levels)
denate_edge
: factor (levels: 'no' and 'yes')
lobed_edge
: factor (levels: 'no' and 'yes')
smooth_edge
: factor (levels: 'no' and 'yes')
toothed_edge
: factor (levels: 'no' and 'yes')
undulate_edge
: factor (levels: 'no' and 'yes')
outlying_polar
: numeric
skewed_polar
: numeric
clumpy_polar
: numeric
sparse_polar
: numeric
striated_polar
: numeric
convex_polar
: numeric
skinny_polar
: numeric
stringy_polar
: numeric
monotonic_polar
: numeric
outlying_contour
: numeric
skewed_contour
: numeric
clumpy_contour
: numeric
sparse_contour
: numeric
striated_contour
: numeric
convex_contour
: numeric
skinny_contour
: numeric
stringy_contour
: numeric
monotonic_contour
: numeric
num_max_ponits
: numeric
num_min_points
: numeric
diameter
: numeric
area
: numeric
perimeter
: numeric
physiological_length
: numeric
physiological_width
: numeric
aspect_ratio
: numeric
rectangularity
: numeric
circularity
: numeric
compactness
: numeric
narrow_factor
: numeric
perimeter_ratio_diameter
: numeric
perimeter_ratio_length
: numeric
perimeter_ratio_lw
: numeric
num_convex_points
: numeric
perimeter_convexity
: numeric
area_convexity
: numeric
area_ratio_convexity
: numeric
equivalent_diameter
: numeric
eccentriciry
: numeric
contrast
: numeric
correlation_texture
: numeric
inverse_difference_moments
: numeric
entropy
: numeric
mean_red_val
: numeric
mean_green_val
: numeric
mean_blue_val
: numeric
std_red_val
: numeric
std_green_val
: numeric
std_blue_val
: numeric
correlation
: numeric
data(leaf_id_flavia)
str(leaf_id_flavia)
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