Automatic classification

Select learning set (step 1 of 2)

Select current project as learning set

or select another project:

ID	Title	Status	Nb objects	% validated	% classified
Select #46	demo oceanomics	Annotate	4	0.00	0.00
Select #16	IADO 2015, from scratch 1	Annotate	11482	100.00	100.00
Select #18	IADO 2015, from scratch 2	Annotate	11482	100.00	100.00
Select #19	IADO 2015, from scratch 3	Annotate	11482	100.00	100.00
Select #22	IADO, from classif 1	Annotate	11482	100.00	100.00
Select #36	MALASPINA Multinet	Annotate	137994	73.70	100.00
Select #9	Microscopy_test1	Annotate	1195	1.67	100.00
Select #13	Rond carre demo	Annotate	1264	99.92	100.00
Select #30	Subset of IADO 2015, from scratch 2, 200 per cat, corrected, split, N3	Annotate	1865	100.00	100.00
Select #33	Subset of IADO 2015, from scratch 2, 200 per cat, raw, N1	Annotate	1865	100.00	100.00
Select #34	Subset of Subset of IADO 2015, from scratch 2, 200 per cat, correctedN2	Annotate	1865	100.00	100.00
Select #20	TARA OCEANS MULTINET	Annotate	285538	84.80	100.00
Select #15	TARA OCEANS POLAR CIRCLE MULTINET	Annotate	77315	100.00	100.00
Select #39	TARA OCEANS UVP5	Annotate	771791	100.00	100.00
Select #11	Test Impot LN/SC	Annotate	1195	0.00	100.00