THE VIDEO SHELF · historical street footage
[4k, 60 fps] San Francisco, a Trip down Market Street, April 14, 1906
A neural-network upscaled 4K, 60 fps version of the 1906 film of a trip down Market Street in San Francisco, shot four days before the earthquake. It shows cable cars, horse carriages, early automobiles and pedestrians sharing the street.
Why HN readers recommended it
Cited in threads on cars, streets and urbanism as evidence of how mixed traffic worked before cars took over.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Denis Shiryaev
- Topic
- historical street footage
- Format
- other
- Level
- general
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 9
- Recommendation years in dataset
- 2020–2023
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
This reminds me of a cool video i saw the other day of San Francisco's Market Street in 1906: [VIDEO] It's so interesting to see how people, street cars, horse & carts, and cars all seemed to share the road in what seemed like a …
sarora27 on Hacker News · 2020-09
In A Brief Cultural History of the Parking LotI've really come to enjoy these sorts of upscaled videos that allow a view of various cities in the early 1900's. New York: [LINK] San Francisco: [VIDEO] Paris: [LINK] Wuppertal, Germany: [LINK]
GeekyBear on Hacker News · 2021-10
In The Hindenburg disaster denoised, upscaled, and colorized using ML [video]FWIW, check out "A Trip Down Market Street", filmed in 1906 in SF just before the earthquake. [LINK] Upscaled and colorized: [VIDEO] You can see pedestrians, horse-drawn carriages, and early automobiles all "flowing" together.
carapace on Hacker News · 2022-07
In When coal first arrived, Americans said 'no thanks'
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.