Gwara reVisual AI

Kuziva Mifananidzo Yekugadzirwa

Synthetic-image yekuona inofungidzira kana chifananidzo chakagadzirwa kana kuchinjwa pachishandiswa mamwe matekiniki.

Teerera kugwaro iriAI-yakarondedzerwa · ~2 min

Tanga kuverengaTora mubvunzo
Pa peji ino2 min verenga
  1. Pfupiso
  2. Zvakakosha zvinobuda
  3. Kudzika Kwakadzika
  4. Verenga ma alarm enhema
  5. Kuitwa muNyika yeChokwadi
  6. Kuzvishandisa
  7. Sources uye kuwedzera kuverenga
  8. Ramba Uchiongorora
  9. Mibvunzo inowanzo bvunzwa

Pfupiso

Zvakasiyana nekuona kwakabva mufananidzo kana kusarudza kuti zviri kuratidzwa ndezvechokwadi here. Detector zvinobuda zvinoda kududzira nekuchenjerera nekuti manyepo enhema uye manyepo enhema anogona kuitika zvese.

Zvakakosha zvinobuda

  1. Tarisa evaluation mamiriro uye base rates.
  2. Kusiyanisa kuoneswa kubva kunhoroondo nechokwadi.
  3. Chengetedza kusava nechokwadi mune zvisarudzo pamusoro pevanhu.

Kudzika Kwakadzika

Verenga mamiriro ekuongorora. Detector yakadzidziswa pane imwe seti yemajenareta inogona kuita zvakasiyana pamhando nyowani, zvakagadziridzwa zvinobuda, mapikicha, kana mifananidzo yakadhindwa zvakare. Chibodzwa chakashumwa kubva pachiyero chekuenzanisa chingasatsanangure muunganidzwa chaiwo une mifananidzo mishoma yekugadzira. Tsanangura chibodzwa che detector kubva pane yakatarwa mukana. Calibration, pachikumbaridzo sarudzo, uye kuwanda kwezvakagadzirwa zvinokanganisa kududzira. Chibodzwa chepamusoro chinogona kuve chikonzero chekuferefeta pasina kupembedza kupomerwa kwevanhu. Shandisa humbowo hunoenderana: ekutanga mafaera, kwakabva nhoroondo, metadata, zvitupa zvemukati, uye yakazvimiririra corroboration. Metadata inogona kushaikwa kana kuchinjwa, uye magwaro anotsanangura akarekodhwa kubva pane kuvimbisa kuti zvese zvinoonekwa zvinoonekwa ndezvechokwadi. Gadzira ongororo yekufambisa inokonzeresa kusavimbika. Chengetedza umboo, nyora maturusi neshanduro dzakashandiswa, uye tsanangura hwaro hwemhedziso ipi neipi. Dzivisa kuranga vanhu otomatiki zvichibva pane imwe detector isina mhedzisiro.

04Muenzaniso wakashanda

Verenga ma alarm enhema

  1. Gadzira muunganidzwa wemifananidzo 1,000 chaiyo uye gumi mifananidzo yakagadzirwa. Ngatitii detector inomira 1% yemifananidzo chaiyo uye inobata 8 yekugadzira.

  2. Iyo inoburitsa gumi maalarm enhema uye 8 yechokwadi yekuona, saka 8 chete ye18 mifananidzo ine mureza inogadzirwa mumuenzaniso uyu.

  3. Taura maverengero chaiwo uye ongorora humbowo usati waita chirevo nezve chero mufananidzo.

Zvazvinoratidza

Iwo akagadzirwa manhamba anoratidza base-mwero mhedzisiro, kwete kuita kweiyo chaiyo detector.

Kuitwa muNyika yeChokwadi

Ongorora detector pane imwechete compression uye mifananidzo masosi anotarisirwa kushandiswa.

Batanidza detector inobuda neprovenance wongororo pane kuitora semutongo.

Kuzvishandisa

Nei zvichikosha

  • Kumhanya uye chiyero. Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.
  • Vaka sarudzo. Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.
  • Team uye workflow. Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.

Chenjera

  • Kodzero dzemifananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana provenance isina kujeka.
  • Kuita kwemuenzaniso kunogona kusiyanisa kupenya, huwandu hwevanhu, uye nharaunda.
  • Manyepo enhema anogona kusacherechedzwa kunze kwekunge zvikumbaridzo zvekuvimba zvikatariswa.

Matanho anotevera

  1. Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
  2. Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
  3. Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
  4. Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.

Sources uye kuwedzera kuverenga

  1. NISTDigital content transparency approaches
  2. C2PAContent Credentials anotsanangura

Ramba Uchiongorora

Kuona kweKomputa

Nzwisisa masisitimu epasi anopa simba kuona AI.Verenga Guide

AI Kugadzira mifananidzo

Ongorora kugadzira mafambiro uye modhi tradeoffs.Verenga Guide

Tsamba yemahara

Tora iyo yemazuva ese AI pfupiso

Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.

Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.

Zviedze iwe pachako

Take the Synthetic Image Detection quiz

Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.

Tanga mibvunzo

Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo

Mibvunzo inowanzo bvunzwa

Kushaikwa kweZvibvumirano Zvemukati zvinoreva kuti mufananidzo ndewemanyepo?

Kwete. Provenance metadata haisipo pasi rose. Kusavapo kwayo chete hakuratidzi kuti chifananidzo chakaitwa kana kuti chinonyengera.

Ramba uchidzidza

Mazano anoenderana

Mamwe madhairekitori akasarudzirwa nyaya iyi

Wana chitupa cheAI chemaharaKosi pfupi yemahara nebvunzo. Hapana mutengo, hapana kadhi. Inoda kusvika maawa 2.5.Tanga mahara →