@syasyaachnn: Random pict#fyp

syachaan

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Sunday 10 May 2026 14:06:39 GMT

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່ :

1 jam brp🗿

2026-05-17 00:56:35

8

navy :

is it okay to share sya?

2026-05-10 14:58:19

10

🏻🏼🏽🏾🏿 :

bjir slide 6🫣

2026-05-10 14:52:49

5

usernotjumpa :

goddam slide 6 👀 sama siapaa

2026-05-11 17:47:28

1

@SYAYAYACHN :

Due dot nsl ?

2026-05-24 02:53:02

0

Tamirrr :

slide 6😨

2026-05-14 19:21:34

0

ayamgoyenh :

hamma knp itu slide 6😳

2026-05-11 01:24:28

0

Vrams Id :

slide ke 6 diapain?🗿

2026-05-11 06:11:02

0

VANS :

mom🫶

2026-05-10 14:31:54

0

cent :

maap tp ini superman

2026-05-11 16:25:27

0

Thariq Alimudin :

saya suka avengers🗿

2026-05-11 11:17:15

0

85’1 :

kek pernah liat d mana Yy🤔

2026-05-15 06:04:37

0

𝐘𝐂 peekay :

aduh tau lagi slide 6

2026-05-13 07:18:24

0

ashira :

slide 6 gk ada video nya ca?

2026-05-12 09:44:09

2

Boii :

Nooo'' seandainya tidak ad emot di sana😖

2026-05-12 10:06:53

1

S :

mantep bet

2026-05-11 14:53:48

0

ffcckkkdbt :

2026-05-12 06:07:05

0

cent :

slide 8 itu dpt dimana figure captain americanya

2026-05-11 16:25:00

1

cow :

mommy

2026-05-10 23:51:02

0

Pacar Tiri :

slide 6 mna tahan😭😭

2026-05-10 21:40:44

0

Achmad Akbar :

cundum buat apa itu njir

2026-06-13 16:39:42

0

dapito :

ngeri juga liat tangan diakhir slide

2026-05-10 18:43:19

0

Lilyyyyy :

😍

2026-05-11 00:40:14

0

khori :

makin brutal aja

2026-05-11 06:07:21

0

ndmax-Tzutzu :

🤪🤪🤪

2026-05-10 14:48:04

0

To see more videos from user @syasyaachnn, please go to the Tikwm homepage.

Other Videos

#😍😍😍 #planb #parati #creatorsearchinsights

#😍😍😍 #planb #parati #creatorsearchinsights

L’un des troubles les plus troublants en psychologie, c’est la somniloquie — ce phénomène où l’on parle dans son sommeil, comme si les rêves cherchaient à dire ce que la conscience refuse d’avouer. Tout commence quand le cerveau ne trouve plus de repos complet. Le corps dort, mais l’esprit, lui, reste éveillé. Les mots sortent sans qu’on le veuille, comme des fragments d’émotions que la journée a étouffées. Certains murmurent des noms, d’autres revivent des scènes qu’ils pensaient avoir oubliées. C’est un dialogue avec soi-même, une mémoire qui tente de se libérer dans le noir. Adulte, ça devient un secret honteux. On en rit parfois, mais au fond, on s’interroge : que cherche à dire ce sommeil qui parle trop ? Derrière ces phrases égarées, il y a souvent un stress refoulé, des souvenirs inachevés, ou des blessures que le cerveau continue de traiter seul, la nuit. La somniloquie, ce n’est pas un simple bavardage nocturne. C’est l’inconscient qui crie en silence. Alors, et si tes rêves parlaient plus fort que tout ce que tu oses dire éveillé ? #psychology #psychologie #somniloquie #apprendresurtiktok #syndrome

L’un des troubles les plus troublants en psychologie, c’est la somniloquie — ce phénomène où l’on parle dans son sommeil, comme si les rêves cherchaient à dire ce que la conscience refuse d’avouer. Tout commence quand le cerveau ne trouve plus de repos complet. Le corps dort, mais l’esprit, lui, reste éveillé. Les mots sortent sans qu’on le veuille, comme des fragments d’émotions que la journée a étouffées. Certains murmurent des noms, d’autres revivent des scènes qu’ils pensaient avoir oubliées. C’est un dialogue avec soi-même, une mémoire qui tente de se libérer dans le noir. Adulte, ça devient un secret honteux. On en rit parfois, mais au fond, on s’interroge : que cherche à dire ce sommeil qui parle trop ? Derrière ces phrases égarées, il y a souvent un stress refoulé, des souvenirs inachevés, ou des blessures que le cerveau continue de traiter seul, la nuit. La somniloquie, ce n’est pas un simple bavardage nocturne. C’est l’inconscient qui crie en silence. Alors, et si tes rêves parlaient plus fort que tout ce que tu oses dire éveillé ? #psychology #psychologie #somniloquie #apprendresurtiktok #syndrome

A road infrastructure client was bidding for a city project against vendors promising cameras and image recognition. They had sensors in the ground and no vision model at all. I got two sprints of two weeks, final presentation included. The first decision was to train on the categories the buyer already files. Longitudinal cracks, transverse cracks, alligator cracks, faded lane lines, faded crosswalks and manhole covers. ⠀ I did not invent a taxonomy, because matching the customer vocabulary is what makes the output usable on the day it lands. The second decision was that detection alone is not a deliverable. Every image carried GPS metadata, so I plotted each detection on a map, colour coded by damage type, with a checkbox filter per category and a timestamp on each point. The people in that room read a map and a filter. A confusion matrix would not have moved the conversation one inch. ⠀ The third decision was to keep the stack boring on purpose. A standard object detection model fine tuned on images the client already had, a common inference server pulling weights from object storage, and a lightweight web front end behind one API. Nothing on that list was novel, which is exactly why it was finished in time to present. I also handed over the retraining, so they could add a new damage category without calling me. What would you cut first if your demo was in four weeks? ⠀ Follow @gamechangerai for more. ⠀ #ai #machinelearning #computervision #objectdetection #smartcity

A road infrastructure client was bidding for a city project against vendors promising cameras and image recognition. They had sensors in the ground and no vision model at all. I got two sprints of two weeks, final presentation included. The first decision was to train on the categories the buyer already files. Longitudinal cracks, transverse cracks, alligator cracks, faded lane lines, faded crosswalks and manhole covers. ⠀ I did not invent a taxonomy, because matching the customer vocabulary is what makes the output usable on the day it lands. The second decision was that detection alone is not a deliverable. Every image carried GPS metadata, so I plotted each detection on a map, colour coded by damage type, with a checkbox filter per category and a timestamp on each point. The people in that room read a map and a filter. A confusion matrix would not have moved the conversation one inch. ⠀ The third decision was to keep the stack boring on purpose. A standard object detection model fine tuned on images the client already had, a common inference server pulling weights from object storage, and a lightweight web front end behind one API. Nothing on that list was novel, which is exactly why it was finished in time to present. I also handed over the retraining, so they could add a new damage category without calling me. What would you cut first if your demo was in four weeks? ⠀ Follow @gamechangerai for more. ⠀ #ai #machinelearning #computervision #objectdetection #smartcity

✌️#tâmtrạng

✌️#tâmtrạng

#CapCut

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