Impulse #1
An impulse takes raw data, uses signal processing to extract features, and then uses a learning
block to classify new data.
Image data
%
Subset % should be between 1 and 100
Image
Image axis is required
Classification
13 (button_mushrooms, chicken_eggs, dried_mango_strips, empty_tray, flat_round_cookies, instant_noodle_block, loose_straight_noodles, lotus_root_slices, no_tray, small_round_rusk, soya_chunks, white_rusk, yellow_rusk)
13 (button_mushrooms, chicken_eggs, dried_mango_strips, empty_tray, flat_round_c ...
Show all features
Output features
13 (button_mushrooms, chicken_eggs, dried_mango_strips, empty_tray, flat_round_cookies, instant_noodle_block, loose_straight_noodles, lotus_root_slices, no_tray, small_round_rusk, soya_chunks, white_rusk, yellow_rusk)
13 (button_mushrooms, chicken_eggs, dried_mango_strips, empty_tray, flat_round_cookies, instant_noodle_block, ...
Show all features
No data collected yet
You'll need some training data to design your first impulse.
