General Information
As of February 8, 2024
r/computervision
Computer Vision
en
Computer Vision is the scientific subfield of AI concerned with developing algorithms to extract meaningful information from raw images, videos, and sensor data. This community is home to the academics and engineers both advancing and applying this interdisciplinary field, with backgrounds in computer science, machine learning, robotics, mathematics, and more. We welcome everyone from published researchers to beginners!
Content which benefits the community (news, technical articles, and discussions) is valued over content which benefits only the individual (technical questions, help buying/selling, rants, etc.).
If you want an answer to a query, please post a legible, complete question that includes details so we ...
85,795
January 14, 2010
public
all_ads
Total Submissions
26,301
Total Comments
90,755
Earliest Submission
January 14, 2010
Earliest Comment
January 14, 2010
Metrics
Activity Over Time
Submission Flags
Comment Flags
Submission Score Distribution
Comment Score Distribution
Title Length
Submission Text Length
Comments per Submission
Most Distinctive Words
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 1,475 | 44,581 | 802.8 | 0.4 | 2159.52 | |
| #2 | 866 | 28,772 | 471.3 | 0.2 | 1964.55 | |
| #3 | 295 | 15,011 | 160.6 | 0.1 | 1282.71 | |
| #4 | 2,958 | 169,618 | 1609.9 | 1.4 | 1138.26 | |
| #5 | 264 | 16,563 | 143.7 | 0.1 | 1040.35 | |
| #6 | 726 | 50,279 | 395.1 | 0.4 | 942.47 | |
| #7 | 213 | 16,233 | 115.9 | 0.1 | 856.44 | |
| #8 | 487 | 38,333 | 265.1 | 0.3 | 829.22 | |
| #9 | 814 | 67,787 | 443.0 | 0.6 | 783.78 | |
| #10 | 251 | 21,387 | 136.6 | 0.2 | 766.02 | |
| #11 | 257 | 21,973 | 139.9 | 0.2 | 763.41 | |
| #12 | 220 | 20,407 | 119.7 | 0.2 | 703.65 | |
| #13 | 920 | 93,860 | 500.7 | 0.8 | 639.77 | |
| #14 | 201 | 22,692 | 109.4 | 0.2 | 578.15 | |
| #15 | 207 | 24,886 | 112.7 | 0.2 | 542.91 | |
| #16 | 811 | 99,479 | 441.4 | 0.8 | 532.11 | |
| #17 | 2,295 | 287,479 | 1249.1 | 2.4 | 521.07 | |
| #18 | 1,081 | 142,179 | 588.3 | 1.2 | 496.26 | |
| #19 | 137 | 18,543 | 74.6 | 0.2 | 482.23 | |
| #20 | 427 | 59,187 | 232.4 | 0.5 | 470.89 | |
| #21 | 192 | 27,234 | 104.5 | 0.2 | 460.16 | |
| #22 | 327 | 50,842 | 178.0 | 0.4 | 419.80 | |
| #23 | 272 | 43,022 | 148.0 | 0.4 | 412.66 | |
| #24 | 150 | 23,929 | 81.6 | 0.2 | 409.15 | |
| #25 | 3,707 | 598,343 | 2017.6 | 5.0 | 404.38 | |
| #26 | 101 | 16,329 | 55.0 | 0.1 | 403.72 | |
| #27 | 107 | 17,687 | 58.2 | 0.1 | 394.86 | |
| #28 | 210 | 35,668 | 114.3 | 0.3 | 384.29 | |
| #29 | 162 | 27,917 | 88.2 | 0.2 | 378.76 | |
| #30 | 732 | 140,036 | 398.4 | 1.2 | 341.18 | |
| #31 | 115 | 22,645 | 62.6 | 0.2 | 331.47 | |
| #32 | 188 | 38,977 | 102.3 | 0.3 | 314.82 | |
| #33 | 72 | 14,977 | 39.2 | 0.1 | 313.78 | |
| #34 | 192 | 41,211 | 104.5 | 0.3 | 304.09 | |
| #35 | 91 | 20,439 | 49.5 | 0.2 | 290.60 | |
| #36 | 139 | 31,419 | 75.7 | 0.3 | 288.76 | |
| #37 | 97 | 22,022 | 52.8 | 0.2 | 287.50 | |
| #38 | 925 | 214,811 | 503.4 | 1.8 | 281.06 | |
| #39 | 125 | 30,978 | 68.0 | 0.3 | 263.37 | |
| #40 | 105 | 26,088 | 57.1 | 0.2 | 262.70 | |
| #41 | 87 | 22,509 | 47.4 | 0.2 | 252.28 | |
| #42 | 122 | 31,965 | 66.4 | 0.3 | 249.12 | |
| #43 | 365 | 100,211 | 198.7 | 0.8 | 237.73 | |
| #44 | 62 | 17,245 | 33.7 | 0.1 | 234.66 | |
| #45 | 135 | 38,704 | 73.5 | 0.3 | 227.66 | |
| #46 | 349 | 105,716 | 189.9 | 0.9 | 215.48 | |
| #47 | 51 | 15,542 | 27.8 | 0.1 | 214.18 | |
| #48 | 178 | 56,138 | 96.9 | 0.5 | 206.96 | |
| #49 | 133 | 42,767 | 72.4 | 0.4 | 202.98 | |
| #50 | 189 | 60,916 | 102.9 | 0.5 | 202.51 |