This report describes the autmoated processes we developed for cameras used in environmental monitoring by state Departments of Transportation. These include web-services and artificial intelligence-based image processing to facilitate identificaiton of wildlife in camera trap images, as well as identifying images containing animals (vs. no animals).
Wildlife Observer Network
CO State Highway 9
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Observation Summary
This is a summary of animal observation across all locations and positions.
Animal | Image Count | Animal Count | |
---|---|---|---|
1 | American Crow | 1 | 1 |
2 | Bighorn Sheep | 1 | 1 |
3 | Striped Skunk | 1 | 2 |
4 | Common Raven | 3 | 3 |
5 | Domestic Dog | 2 | 3 |
6 | Brewer's Blackbird | 4 | 4 |
7 | Black-Billed Magpie | 4 | 4 |
8 | Pronghorn | 5 | 5 |
9 | Gray Fox | 7 | 7 |
10 | Black Bear | 18 | 18 |
11 | Bobcat | 23 | 23 |
12 | Moose | 23 | 24 |
13 | Brush Rabbit | 24 | 24 |
14 | Mountain Lion | 38 | 41 |
15 | Black-Tailed Jackrabbit | 53 | 57 |
16 | Red Fox | 80 | 80 |
17 | Human | 74 | 83 |
18 | Elk | 82 | 88 |
19 | Human Researcher | 133 | 149 |
20 | Coyote | 587 | 608 |
21 | Mule (or Black tailed) Deer | 10,171 | 12,386 |