00:37

Red sea fish (first attempt)

00:21

A helicopter in flight (color-based segmentation)

01:39

A properly segmented grasshopper (color-based segmentation)

00:15

Better segmentation quality leads to better "stability" (whale color-based segmentation)

00:47

Segmenting ducks (color-based segmentation, drone footage)

01:28

Let's make a training set for a specific type of leaves (color-based segmentation)

02:04

Multi-object segmentation being explained (or visualized)

00:41

Red jacket color map visualization (pre-segmentation result)

00:18

Green on green with green (color-based segmentation)

00:54

Red dress color map being visualized (pre-segmentation results)

00:35

Color-based segmentation of a bug (attempt 1, color map)

00:27

Yet another physical process (color-based segmentation)

00:28

A swallow flying (segmentation with tracking bounding box)

00:21

Failed fly segmentation (attempt 1)

00:53

Shark segmentation (drone footage, attempt1)

00:30

A black cat on a dark tree (impossible segmentation benchmark)

00:51

Color-based segmentation, color distance and color palette

01:06

Grasshopper segmentation quality compared (color-based segmentation)

00:37

Segmenting a growing plant, quality comparison (attempt 1)

00:47

Lake birds (multiple objects segmentation)

00:51

Lego Marvel as a benchmark for contrast-based segmentation (attempt 1)

00:21

Multiple birds compared (precise segmentation)

00:23

Kuka robot once again (improved contrast)

00:26

Segmentation accuracy being visualized (ant macro)

01:06

Flock of birds segmentation (attempt 1, contrast-based)

02:02

Contrast-based vs color-based segmentation (side by side comparison)

01:22

Red cardinal segmentation (attempt 1)

00:57

Parasitoid wasp precise segmentation (color-based, attempt 1)

00:38

Tricky koi segmentation (attempt 1, failed in many ways)

00:22

A unique color of Kobelco (attempt 1)

00:13

"Thermal vision" for a caterpillar (contrast-based segmentation, attempt 1)

00:58

A bit unstable contrast-based segmentation (raven, attempt 1)

00:55

Segmenting a jelly fish (attempt 2)

02:31

Cat plays with two balls (color-based segmentation)

01:06

Segmenting a cat through the window (color-based segmentation)

04:02

Increasing complexity with bugs macro (color-based segmentation)

01:22

Finally segmenting a cute cat (color-based segmentation)

02:55

A quick test with grass and flowers (attempt 1)

01:10

Does higher frame rate help to improve segmentation accuracy?

01:15

Segmenting a cute tiny spider (color-based segmentation)

00:17

Automated depth of field segmentation (no manual tweaking)

02:02

Segmenting a flying cockchafer (attempt 1)

00:46

Psychedelic and pretty complex benchmark (jelly fish, color-based segmentation)

01:07

Multiple birds segmentation, improved precision (based on 8K stream)

00:12

Red on red, background segmentation (a quick test)

00:36

Just a cute little spider (color-based segmentation)

01:13

Segmenting a production robot (Kuka, color-based segmentation, attempt 1)

03:09

Shiny depth of field (literally)

00:39

Easy, but not that easy -- yet another accuracy test (color-based segmentation)

02:33

Tricky basilisk explained (sharpness based segmentation)

00:37

Red Bull Baja as a benchmark (complex shape segmentation)

00:39

Depth of field being visualized (no segmentation, just a pre-processing results)

03:05

Will it be an easy task to segment a cloud? (Attempt 1)

01:36

Multiple object segmentation and quality comparison (flamingo)

00:41

Segmenting a yellow balloon (Attempt 1)

00:38

A bee carries a payload (contrast-based segmentation)

00:18

Better bees segmentation (color-based segmentation)

00:48

Bees segmentation based on sharpness (rough results)

00:33

Sometimes frogs are very tricky objects to be segmented (failed segmentation)

00:15

Frog shadow in 8K (a quick and a bit ugly test)