All About Photographic Lenses.
Specifications, comparison, reviews,
MTF-charts for lenses by Canon,
Nikon, Sony, Pentax, Olympus,
Sigma, Tamron, Carl Zeiss, etc.
Specifications, comparison, reviews,
MTF-charts for lenses by Canon,
Nikon, Sony, Pentax, Olympus,
Sigma, Tamron, Carl Zeiss, etc.
Site Members
Name | Full name | Place | Scores | Rank | |
---|---|---|---|---|---|
1 | BillyMills | 0.3 | lvl.1 (Lens-Learner) | ||
2 | NoahWoodward | Noah Woodward Noah Woodward | Bridgeville | 0.3 | lvl.1 (Lens-Learner) |
3 | phuongnamriverpark | Phương Nam River Park Phương Nam River Park | Bến Tre | 0.3 | lvl.1 (Lens-Learner) |
4 | Tronto Xavi12 | Tronto Xavi12 Tronto Xavi12 | 0.3 | lvl.1 (Lens-Learner) | |
5 | slava Des99 | slava Des99 slava Des99 | 0.3 | lvl.1 (Lens-Learner) | |
6 | Deave9 stive | Deave9 stive Deave9 stive | 0.3 | lvl.1 (Lens-Learner) | |
7 | veerd4 | 124.9 | lvl.2 (Lens-Adept) | ||
8 | jungleboyzz | 0.6 | lvl.1 (Lens-Learner) | ||
9 | realestat2021 | 0.3 | lvl.1 (Lens-Learner) | ||
10 | Movietrp | Movietrp Movietrp | Delhi | 1.2 | lvl.1 (Lens-Learner) |
11 | Royal Movingco | 0.3 | lvl.1 (Lens-Learner) | ||
12 | UmerDonovan | Umer Donovan Umer Donovan | Bettendorf | 0.3 | lvl.1 (Lens-Learner) |
13 | CNSideways | 1.4 | lvl.1 (Lens-Learner) | ||
14 | Poker Dangal | Poker Dangal Poker Dangal | Delhi | 0.9 | lvl.1 (Lens-Learner) |
15 | lineng | 3.3 | lvl.1 (Lens-Learner) | ||
16 | veerd2 | 151.1 | lvl.2 (Lens-Adept) | ||
17 | carrotseo | coimbatore | 0.3 | lvl.1 (Lens-Learner) | |
18 | Sandeep Kumar | 0.3 | lvl.1 (Lens-Learner) | ||
19 | MarcFlore4 | 0 | lvl.1 (Lens-Learner) | ||
20 | Vojta | 1.4 | lvl.1 (Lens-Learner) | ||
21 | Craig Schroeder | 0.3 | lvl.1 (Lens-Learner) | ||
22 | bryans Ea24 | bryans Ea24 bryans Ea24 | 0.3 | lvl.1 (Lens-Learner) | |
23 | unan Sid49 | unan Sid49 unan Sid49 | 0.3 | lvl.1 (Lens-Learner) | |
24 | Bady Apalm | 0.3 | lvl.1 (Lens-Learner) | ||
25 | nouvelle | 0.3 | lvl.1 (Lens-Learner) | ||
26 | tuhin Gud5 | tuhin Gud5 tuhin Gud5 | 0.3 | lvl.1 (Lens-Learner) | |
27 | Bartlomiej | 79.1 | lvl.1 (Lens-Learner) | ||
28 | Hugo Fernandez | Hugo | Montpellier | 19.6 | lvl.1 (Lens-Learner) |
29 | affordablehosting | 0.3 | lvl.1 (Lens-Learner) | ||
30 | M3M Heights | M3M Heights | Gurgaon | 1.5 | lvl.1 (Lens-Learner) |
31 | roboto Sla9 | roboto Sla9 roboto Sla9 | 0.3 | lvl.1 (Lens-Learner) | |
32 | HoraceHarvey | 0.3 | lvl.1 (Lens-Learner) | ||
33 | alain senetaire | 2.1 | lvl.1 (Lens-Learner) | ||
34 | theda i56y | theda i56y theda i56y | 0.3 | lvl.1 (Lens-Learner) | |
35 | chaletforsaleinn | 0.3 | lvl.1 (Lens-Learner) | ||
36 | e2 stats | 0.3 | lvl.1 (Lens-Learner) | ||
37 | zhiminyaosu | 0.7 | lvl.1 (Lens-Learner) | ||
38 | William Houston | 0 | lvl.1 (Lens-Learner) | ||
39 | okamoto | 5.8 | lvl.1 (Lens-Learner) | ||
40 | Sexs u56r | Sexs u56r Sexs u56r | 0.3 | lvl.1 (Lens-Learner) | |
41 | Aruna123 | Aruna certvalue Aruna certvalue | bangalore | 0.3 | lvl.1 (Lens-Learner) |
42 | Heat er56u | Heat er56u Heat er56u | 0.3 | lvl.1 (Lens-Learner) | |
43 | Russ Rosener | 0 | lvl.1 (Lens-Learner) | ||
44 | Coffee Tea | 0.3 | lvl.1 (Lens-Learner) | ||
45 | dresyios | 2.1 | lvl.1 (Lens-Learner) | ||
46 | Cabanas Pucon | 0.3 | lvl.1 (Lens-Learner) | ||
47 | Guadalupe | -4 | lvl.0 () | ||
48 | Cams Planetpassion | Cams Planetpassion camsplanetpassion | 0.3 | lvl.1 (Lens-Learner) | |
49 | tutlance | 0.3 | lvl.1 (Lens-Learner) | ||
50 | Cams Kinkybitches | Cams Kinkybitches | 0.3 | lvl.1 (Lens-Learner) | |
51 | zhaba1941 | Andreyev Vladimir | Ust-Kamenogorsk | 574.2 | lvl.3 (Lens-Competent) |
52 | Cams Sexpals | Cams Sexpals | 0.3 | lvl.1 (Lens-Learner) | |
53 | quadenmakelaars | 0.3 | lvl.1 (Lens-Learner) | ||
54 | cupomcarrefour | 0.3 | lvl.1 (Lens-Learner) | ||
55 | Vincenzo | 0.3 | lvl.1 (Lens-Learner) | ||
56 | Berk Bilak | Istanbul | 11.1 | lvl.1 (Lens-Learner) | |
57 | Passion Partye | 0 | lvl.1 (Lens-Learner) | ||
58 | Patso r37u | Patso r37u Patso r37u | 0.3 | lvl.1 (Lens-Learner) | |
59 | airborneprivatejet | 0.3 | lvl.1 (Lens-Learner) | ||
60 | Remaker | 0 | lvl.1 (Lens-Learner) | ||
61 | Passion Party | 0.3 | lvl.1 (Lens-Learner) | ||
62 | Banl ea38s | Banl ea38s Banl ea38s | 0.3 | lvl.1 (Lens-Learner) | |
63 | Cams Kinkymilfs | Cams Kinkymilfs | London | 0.3 | lvl.1 (Lens-Learner) |
64 | peter butler | peter butler peter butler | new york city | 0.3 | lvl.1 (Lens-Learner) |
65 | pokerbo onlinee | pokerbo online pokerbo online | 0.3 | lvl.1 (Lens-Learner) | |
66 | Ufar s96r | Ufar s96r Ufar s96r | 0.3 | lvl.1 (Lens-Learner) | |
67 | Novelzz | 0.3 | lvl.1 (Lens-Learner) | ||
68 | Streetgirl | Streetgirl Bhavna sharma | Kolkata | 0.3 | lvl.1 (Lens-Learner) |
69 | MumbaiescortsNidi | MumbaiescortsNidi MumbaiescortsNidi | Mumbai | 0.3 | lvl.1 (Lens-Learner) |
70 | Tanyabhati | Tanyabhati Tanyabhati | Bangalore | 0.3 | lvl.1 (Lens-Learner) |
71 | Komalshety | Komalshety Komalshety | Ahmedabad | 0.3 | lvl.1 (Lens-Learner) |
72 | Mumbaimood | Mumbaimood Mumbaimood | Mumbai | 0.3 | lvl.1 (Lens-Learner) |
73 | No1Bangaloreescorts | No1Bangaloreescorts No1Bangaloreescorts | Mumbai | 0.3 | lvl.1 (Lens-Learner) |
74 | Madhupandy | Madhupandy Madhupandy | Mumbai | 0.3 | lvl.1 (Lens-Learner) |
75 | ankitaverma | ankitaverma ankitaverma | Mumbai | 0.3 | lvl.1 (Lens-Learner) |
76 | Lenny Paul | 0 | lvl.1 (Lens-Learner) | ||
77 | mcpebox | 0.3 | lvl.1 (Lens-Learner) | ||
78 | raszputyin | 1.2 | lvl.1 (Lens-Learner) | ||
79 | aadarsh kamboj | aadarsh kamboj aadarsh kamboj | Panchkula | 0.3 | lvl.1 (Lens-Learner) |
80 | ayutingting | 0.3 | lvl.1 (Lens-Learner) | ||
81 | Xylophoneichel | 1.8 | lvl.1 (Lens-Learner) | ||
82 | Palm Hills | palm Hills | Cairo | 0.3 | lvl.1 (Lens-Learner) |
83 | BobbyCarr | 0.3 | lvl.1 (Lens-Learner) | ||
84 | HilelRobinson | Hilel Robinson | San Diego | 0.3 | lvl.1 (Lens-Learner) |
85 | Daniel Weber | Daniel Weber Daniel | CA | 0.3 | lvl.1 (Lens-Learner) |
86 | Adom | Adom Stark Adom Stark | New York | 0.3 | lvl.1 (Lens-Learner) |
87 | soap2day | 0.3 | lvl.1 (Lens-Learner) | ||
88 | Live Sexlist | Live Sexlist | 0.3 | lvl.1 (Lens-Learner) | |
89 | Marco Trerotola | 0.9 | lvl.1 (Lens-Learner) | ||
90 | David Schmitt | 7.2 | lvl.1 (Lens-Learner) | ||
91 | Dewd oxi19 | Dewd oxi19 Dewd oxi19 | 0.3 | lvl.1 (Lens-Learner) | |
92 | Lawrence McFarrin | 0 | lvl.1 (Lens-Learner) | ||
93 | ChaimMeyer | Chaim Meyer | San Diego | 0.3 | lvl.1 (Lens-Learner) |
94 | Beautiful Nudes | Beautiful Nudes | 0.3 | lvl.1 (Lens-Learner) | |
95 | mark wilson | Adam Walker Adam Walker | Austin | 0.3 | lvl.1 (Lens-Learner) |
96 | wyszu | 0 | lvl.1 (Lens-Learner) | ||
97 | Hotsugar Babes | Hotsugar Babes | 0.3 | lvl.1 (Lens-Learner) | |
98 | EddieSimmons | Eddie Simmons Eddie | Bothell | 0.3 | lvl.1 (Lens-Learner) |
99 | Sandra Johnson | MMF Infotech Technologies | Plainview, NY | 0.3 | lvl.1 (Lens-Learner) |
100 | WillieFrancis | Willie Francis Willie | Lanai City | 0.3 | lvl.1 (Lens-Learner) |