Image classification with TensorFlow online NO CODE | Teachable Machine | Computer vision tutorial

0:00 Start
0:31 Dataset
1:21 Teachable machine
3:25 Train model
4:42 Validate model
8:57 Predict image online
9:52 Predict image local
14:38 Predict directory
23:15: Outro

#computervision #imageclassification #imageclassifier #python #teachablemachine

[besuccessfull]

Complete Tensflow tutorial next plzzz😍😍🙏🙏🙏🙏

[lphwo]

Hi firstly thanks for making these videos, I've learned alot.
So I've been trying to do a small project out of interest.
The idea is to try and detect characters/objects in a video game and what they are currently doing.
So I'm in the middle of doing annotations in CVAT, and after thinking through it each character can go through roughly 55 different types of animations (like walking, running, punching etc).
So what I'm doing in CVAT is to put 1 label/class of a character, and added all 55 possible animations in the attributes section, rather than splitting out all of them into their own label/class. In my mind I thought that this would help down the road when I am trying to do real time detection, since putting all the different types of animations in attributes means I am only detecting 7 labels/class on the screen at any one time.
So after going through your videos and reading up more I think I may have gotten the wrong idea, and I think if I just fed my dataset into Yolov8 it would just tell me where my characters are on the screen, but not what they are actually doing.
So my question is, what am I missing, how should I proceed next, is my dataset almost totally useless since attributes won't help me achieve what I want? Or is there another model out there that can do what I want to do.(But is probably slower)

[Optable]

Can you show us how to leverage this training with TensorFlow, GANlib, or others to then implement that fine tuned training model to generate images from text based of that training. Looks like StyleGAN and cycleGAN would be useful to leverage, but some open source ones that can then apply that refined and trained model into generative images via text?

[SRIDEVIV-pb]

Iam getting error unabe to synchronously open file unable to open file:name='keras_model.h5'

[fredh]

Thank you for making this video. I have one image per class and 500 classes. Can I use the webcam to create more images from the single image I have, so the model has more to analyze? My images are already saved to my drive, so I can't just hold them in front of the webcam. Any suggestions? Thank you.

[thierrylechevillier]

Super super video!
Muchas muchas gracias.

[saabiqstudios]

I am unable to load the model. is there some other dependencies i have to install ?

[seshafarmspalmarosa]

Than you so much, iam a farmer just try to figure how to use the computer vision but dont have much knowledge on the coding part, but this is very useful i tried it .. i can figure out some result, can you make how it should run in android mobile ....

[ThanhNga-pe]

Thank you very much for sharing. Is there any similar simple & user-friendly tool like Teachable Machine but is pytorch based please?

[themomentsofvalorant]

how can i make it to predict true negative result? for example, if i insert image other than cloudy, rain, shine and sun rise, it will show "no target image"

[dasvanat]

I liked you accent very much!!! Where are you from

[MultiSciGeek]

Tried this 100 times, can never get past the "preparing training data" part. It just stays like that for two hours, then freezes and crashes.

[microcontroller_garage]

Can you make a video of training tensorflow lite model for raspberry pi using custom data set

[hakankosebas]

is there a object detection version of it?