| xp | ae | author | photo | vw | fv | cm | gl | flwr | top | elapsed | v/mn | f/mn | Vf | f/v | Vc | tgs | alt | ai generated labels |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 68 | Monty Jackson | Monsoon Storm, w… | 802 | 174 | 57 | 0 | 11600 | 17 | 12h 03m | 1.11 | 0.240 | 14:35 | 217 | 4:32 | 5 | countryside, field, grassland, meadow, nature, outdoors, rural, grass, plant, slope, farm, pasture, green, sky, horizon | |
| 2 | 66 | Wanda | Seeing Sicily | 875 | 207 | 30 | 0 | 7700 | 21 | 23h 38m | 0.62 | 0.146 | 15:46 | 237 | 21:02 | 24 | water, waterfront, transportation, vehicle, watercraft, nature, outdoors, sky, boat, sailboat, harbor, pier | |
| 3 | – | Mark Fearnley | Valencia | 810 | 129 | 10 | 0 | 12500 | 2 | 13h 34m | 0.99 | 0.158 | 10:39 | 159 | 46:42 | 0 | lighting, nature, night, outdoors | |
| 4 | 60 | Pom' | Rocca Parvo, Col… | 1152 | 216 | 18 | 0 | 10000 | 21 | 08h 35m | 2.23 | 0.419 | 8:53 | 188 | 13:37 | 22 | rock, mountain, mountain range, nature, outdoors, peak | |
| 5 | 51 | Li Feng | Dancing Houses A… | 481 | 140 | 8 | 1 | 10900 | 21 | 09h 53m | 0.81 | 0.236 | 8:49 | 291 | 30:11 | 13 | water, waterfront, city, nature, night, outdoors, urban, scenery, canal, landscape | |
| 6 | 75 | Michele Carbone | Termoli - Molise | 836 | 302 | 18 | 1 | 8100 | 27 | 14h 15m | 0.98 | 0.353 | 11:29 | 361 | 24:45 | 5 | nature, outdoors, sky, scenery, landscape, sunrise, sunset, horizon, rock, beach, coast, sea, shoreline, water, panoramic, waterfront | |
| 7 | 19 | Rudy Balasko | Manhattan. | 360 | 67 | 4 | 1 | 5900 | 7 | 14h 00m | 0.43 | 0.080 | 15:15 | 186 | 3:21:38 | 49 | city, urban, metropolis, architecture, building, cityscape, water, waterfront, landscape, nature, outdoors, scenery, high rise, downtown, panoramic | |
| 8 | 28 | Richard Et Dian… | Ruddy Crake /Râl… | 429 | 81 | 35 | 0 | 8400 | 12 | 09h 25m | 0.76 | 0.143 | 15:55 | 189 | 7:15 | 3 | animal, beak, bird | |
| 9 | 42 | Barry Crosthwait… | Dominoes, Havana… | 595 | 119 | 5 | 0 | 1900 | 12 | 08h 43m | 1.14 | 0.227 | 15:14 | 200 | 24:31 | 2 | city, road, street, urban, person, chair, furniture | |
| 10 | 28 | Alma Csutka (No … | Hello October! 🍁… | 541 | 104 | 20 | 0 | 3000 | 7 | 15h 10m | 0.59 | 0.114 | 17:59 | 192 | 19:25 | 0 | leaf, plant, tree, vegetation | |
| 11 | 42 | Francesc F P | Camins senyalitz… | 1215 | 133 | 3 | 1 | 6400 | 8 | 1d 17h 39m | 0.49 | 0.053 | 26:47 | 109 | 12:07:56 | 11 | path, nature, outdoors, road, walkway, field, grassland, sky | |
| 12 | 7 | Raul Villalon | Ta Prohm | 420 | 43 | 2 | 0 | 2800 | 4 | 1d 04h 28m | 0.25 | 0.025 | 26:52 | 102 | 42:09 | 30 | clothing, dress, fashion, formal wear, gown, wedding, wedding gown | |
| 13 | 67 | Vision.Ing | Schloss Pfauenin… | 1044 | 169 | 49 | 0 | 2000 | 8 | 1d 09h 19m | 0.52 | 0.085 | 12:43 | 162 | 15:06 | 11 | architecture, building, house, housing, villa, arch, monochrome | |
| 14 | 27 | Ambrogio Colombo | Pinguicula lepto… | 377 | 119 | 5 | 0 | 2400 | 4 | 17h 01m | 0.37 | 0.117 | 18:58 | 316 | 2:16:04 | 0 | flower, plant, petal, anemone | |
| 15 | 30 | Kennard | New York | 583 | 96 | 4 | 0 | 2000 | 3 | 1d 03h 04m | 0.36 | 0.059 | 19:31 | 165 | 9:59 | 28 | city, road, street, urban, metropolis | |
| 16 | 28 | Michael Hill | 'Lagom är bäst .… | 226 | 55 | 4 | 0 | 4300 | 3 | 11h 19m | 0.33 | 0.081 | 17:24 | 243 | 18:01 | 7 | lake, nature, outdoors, water, plant, vegetation, land, tree, woodland, sky | |
| 17 | 17 | Alexm. | 20240126-171857 | 1560 | 63 | 0 | 0 | 4300 | 3 | 1d 09h 01m | 0.79 | 0.032 | 14:07 | 40 | n/a | 4 | nature, outdoors, slope, mountain, mountain range, peak, weather, cliff, monochrome | |
| 18 | 27 | Linda Filion | Simplicité / Sim… | 303 | 82 | 22 | 1 | 76 | 1 | 13h 11m | 0.38 | 0.104 | 10:45 | 271 | 22:14 | 0 | flower, plant, anemone, petal, aquilegia | |
| 19 | 14 | The Doppelkorn | Bolzplatz | 266 | 42 | 4 | 0 | 122 | 1 | 1d 18h 50m | 0.10 | 0.016 | 19:13 | 158 | 2:32:03 | 29 | people, person | |
| 20 | 19 | Sherri | Upside Down Worl… | 388 | 76 | 15 | 0 | 2700 | 1 | 1d 02h 09m | 0.25 | 0.048 | 25:21 | 196 | 28:41 | 14 | sphere |
How This Works
Alternate Explore (AE) is not a substitute for the Flickr Explore page in any way. It isn't provided nor supported by Flickr.
AE just presents data supporting the Explore page, allowing you to re-order it and visualise the result.
AE's first column is the photo's rank in that day's Explore page.
AE's second column, 'ae', is the photo's Alternate Explore score, from 0 to 100. It says how the photo's engagement (favourites, comments and galleries, in total and per view) compares with that day's other photos of the same subject; hover over a score to see the subject (landscape, life, urban, people or creative). A bullet before the score marks the 20 photos in the day's Alternate Explore selection: the best four of each subject, with at most two per photographer and at least four monochrome. A dash means the photo has no score: too few views, or no subject yet. Photos without a score sort last.
Click column headings to sort the display in alternate ways. Click 'raw' for basic metrics, 'adv' for advanced metrics derived from the basics, and 'pic' for an image mosaic of the current page sorting order.
Click on a photographer's name to see his photo stream in Flickr. Click on a photo's title to see it within the Explore stream.
Click 'xgs' or 'csv' to export the data to cloud based or local spreadsheets.
When exporting to a Google Sheet ('xgs'), you can enter your own formulas in the second column ('alternate'), then click the 'Back to Alternate Explore' link to visualise the result in AE's mosaic display mode.