Row 6033

Row ID: 6033 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 6033 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I want to upscale and generally improve a bunch of old family films. What tools should I consider? it's probably close to 100 films, each between 1 and 2 hours long.

I prefer free options, but I don't mind paying if it's a reasonable pricing model.

Bonus points if I can extract meta-data such as scenes, scenarios and facial recognition to help me categorize it

FieldValue
text I want to upscale and generally improve a bunch of old family films. What tools should I consider? it's probably close to 100 films, each between 1 and 2 hours long. I prefer free options, but I don't mind paying if it's a reasonable pricing model. Bonus points if I can extract meta-data such as scenes, scenarios and facial recognition to help me categorize it
label r/artificial
dataType post
communityName r/artificial
datetime 2024-05-06
username_encoded Z0FBQUFBQm5LakwyS1FSVVh6YzBpS2VDUHRNUU5kS3FHUjZyanBPc1NCaXJiaUduZVYzV1J0UVFfeVd5V25IWWJ5VndTZE1oMzIzVHFTT3MxSWprX0xlWk1QS3M5ODd5OFE9PQ==
url_encoded Z0FBQUFBQm5Lak9HRUFJT3hBbkFzc2R3eE1hS3F3cFBKMXFJMU1pSkNUY3hjRXhkZTdGU050OFpMZXB3bVhDaTR3bVhYZmdMYkcwTnJqekEydU9sWjA4ZzhSTV9CVzJNdFJkWHF3Nk9xOWQ3eWNTOUlFdUtwbWFpY29wdkNKaTNuY1JnZ3NvalFMZW5EeUpidUlWM3hPLTFZRW9jMld1emowSW5RaVUtaTNiVnRmdUxTWmZ2cHlEeEt0WFl2WHMtXzEzN3NFTjFreXBuQVFUUmQwVFA3d2RQbktoTENBVndudz09

Raw Record

{
  "text": "I want to upscale and generally improve a bunch of old family films. What tools should I consider? it's probably close to 100 films, each between 1 and 2 hours long.\n\nI prefer free options, but I don't mind paying if it's a reasonable pricing model.\n\nBonus points if I can extract meta-data such as scenes, scenarios and facial recognition to help me categorize it",
  "label": "r/artificial",
  "dataType": "post",
  "communityName": "r/artificial",
  "datetime": "2024-05-06",
  "username_encoded": "Z0FBQUFBQm5LakwyS1FSVVh6YzBpS2VDUHRNUU5kS3FHUjZyanBPc1NCaXJiaUduZVYzV1J0UVFfeVd5V25IWWJ5VndTZE1oMzIzVHFTT3MxSWprX0xlWk1QS3M5ODd5OFE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9HRUFJT3hBbkFzc2R3eE1hS3F3cFBKMXFJMU1pSkNUY3hjRXhkZTdGU050OFpMZXB3bVhDaTR3bVhYZmdMYkcwTnJqekEydU9sWjA4ZzhSTV9CVzJNdFJkWHF3Nk9xOWQ3eWNTOUlFdUtwbWFpY29wdkNKaTNuY1JnZ3NvalFMZW5EeUpidUlWM3hPLTFZRW9jMld1emowSW5RaVUtaTNiVnRmdUxTWmZ2cHlEeEt0WFl2WHMtXzEzN3NFTjFreXBuQVFUUmQwVFA3d2RQbktoTENBVndudz09"
}
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