8 ms·

Teachable Machine (2017)

248 points by ekiauhce 3y ago

juujian 3y ago
[flagged]
- endisneigh 3y ago
  Just like act like it doesn’t exist to begin with, so you’re not disappointed.
- coder543 3y ago
  Teachable Machine has existed for years: https://www.theverge.com/tldr/2017/10/9/16447006/google-teachable-machine-learning-ai-experiment https://www.theverge.com/tldr/2017/10/9/16447006/google-teac... Its last real update (AFAIK) was in 2019: https://www.theverge.com/2019/11/7/20953095/google-ai-trainer-no-coding-visual-only-teachable-machine https://www.theverge.com/2019/11/7/20953095/google-ai-traine... Like a number of Google projects, this one lives on without any clear direction. It probably will get axed some day, but the technology in Teachable Machine today is so “old school” already that I don’t think it would be that hard for someone to recreate or improve upon.
  - jatins 3y ago
    oh wow, I thought this was new. Given that this has received no attention in 3 years I'd assume this is largely abandoned internally inside company.
timuthang 3y ago
This is rad. Perfect snow day activity for the kids.
tsunamifury 3y ago
Isn’t this basically what multimodal LLM does as well… it can do anything on the fly it can understand. What’s different here?
- navanchauhan 3y ago
  These are smaller scale model that you can export and run anywhere. Even the smallest multimodal LLM would be wayyyyyyy bigger than an exported model from this
  - jatins 3y ago
    How small are these models? can I export a model here and embed it in an Android/ios app?
    - vineyardmike 3y ago
      You can supposedly embed them for Arduinos, so an app should be no problem.
    - jzombie 3y ago
      The website says they can be embedded in a web app, and export to a format called TensorFlow Lite. I am sure you could embed it. https://www.tensorflow.org/lite https://www.tensorflow.org/lite
      - pona-a 3y ago
        https://www.tensorflow.org/lite/android https://www.tensorflow.org/lite/android TF Lite has first-class Android support with hardware acceleration if I'm not mistaken.
- jzombie 3y ago
  I think this is more like fine tuning an existing model to recognize features you specifically intend it to, and be light enough to run locally in a browser.
  - tsunamifury 3y ago
    Thanks!
  - 3y ago
xyzzy_plugh 3y ago
Wow I actually have a perfect use case for this in a hobby project. Great timing. I considered the older version but it's very limited: > The original Teachable Machine only let you train 3 classes, whereas now you can add as many classes as you like. I'm curious to see how far this scales, for example can I have a few hundred thousand classes? If so, what are the consequences, if any?
- Macuyiko 3y ago
  v1 used a very limited (albeit very easy and already quite impressive) form of transfer learning, e.g. take a pretrained network's 1000dim vector outputs given a bunch of images belonging to three sets (since the original was trained on Imagenet), and then just use K-NN to predict what a set "new" image falls into. v2 does actually finetune weights of a pretrained network. At the time, it was a nice showcase how fast fast JS ML libraries were evolving.
throwaway14356 3y ago
[flagged]
anarticle 3y ago
Who owns the model? Does google get to reuse them?
ahsmha_ 3y ago
do we have any other self hostable, open source alternatives to this?
- panarky 3y ago
  It is self-hostable. It runs locally in your browser, without sending your training data to any servers. Unless you choose to save it to Google Drive. If you choose to host the model with Google, they get a copy of your weights, but they still don't see your training data. Or you can host it yourself with tensorflow.js And you can also download everything in a zip file, training data and weights, and Google never sees any of it. If you want the source, it's here -> https://github.com/googlecreativelab/teachablemachine-community/ https://github.com/googlecreativelab/teachablemachine-commun...
  - pona-a 3y ago
    Note that the source code seems not to be the web UI itself, but rather a collection of samples/helpers to use exported models.
    - Wowfunhappy 3y ago
      It looks like the first version of Teachable Machine really is fully open source, but maybe not the new one? https://github.com/googlecreativelab/teachable-machine-v1 https://github.com/googlecreativelab/teachable-machine-v1
thorum 3y ago
FYI, this is not a new project. Here’s an HN discussion from 6 years ago: https://news.ycombinator.com/item?id=15399132 https://news.ycombinator.com/item?id=15399132
- deleted 3y ago
  [deleted]
- Pikamander2 3y ago
  The new link mentions "the first version from 2017", so I'm assuming this release is what Google considers version 2.
  - nmstoker 3y ago
    Yes I agree - the (2017) tag in the title doesn't seem right here given the update.
andreaschandra 3y ago
I found old videos 6 years ago about techable machine https://www.youtube.com/watch?v=3BhkeY974Rg&ab_channel=GoogleforDevelopers https://www.youtube.com/watch?v=3BhkeY974Rg&ab_channel=Googl... and in 2019, Google released v2 https://blog.google/technology/ai/teachable-machine/ https://blog.google/technology/ai/teachable-machine/ The tasks are limited, good for kick starter. I think the platform is not fastly developed (?)
dang 3y ago
Discussed at the time: Teachable Machine: Teach a machine using your camera, live in the browser - https://news.ycombinator.com/item?id=15399132 https://news.ycombinator.com/item?id=15399132 - Oct 2017 (90 comments)
krm01 3y ago
This was a fun redesign attempt from years ago https://fairpixels.pro/work1/index.html https://fairpixels.pro/work1/index.html
dwrodri 3y ago
I've done my share of research on MediaPipe[1], but had never heard of Teachable Machine. I'm curious if these efforts are related, as these products looks like they were almost intended to be used together. I am definitely excited to see that Google is investing into more "ML at the edge" use cases, especially in the browser. If you've never heard of MediaPipe before, but this caught your eye, definitely check it out. It has seen large uptake in the VTubing community especially as it has a very performant implementation of body + face + hand pose tracking driven by BlazePose. 1: https://developers.google.com/mediapipe https://developers.google.com/mediapipe

248 points by ekiauhce 3y ago

juujian 3y ago

[flagged]

endisneigh 3y ago
Just like act like it doesn’t exist to begin with, so you’re not disappointed.
coder543 3y ago
Teachable Machine has existed for years: https://www.theverge.com/tldr/2017/10/9/16447006/google-teachable-machine-learning-ai-experiment https://www.theverge.com/tldr/2017/10/9/16447006/google-teac... Its last real update (AFAIK) was in 2019: https://www.theverge.com/2019/11/7/20953095/google-ai-trainer-no-coding-visual-only-teachable-machine https://www.theverge.com/2019/11/7/20953095/google-ai-traine... Like a number of Google projects, this one lives on without any clear direction. It probably will get axed some day, but the technology in Teachable Machine today is so “old school” already that I don’t think it would be that hard for someone to recreate or improve upon.
- jatins 3y ago
  oh wow, I thought this was new. Given that this has received no attention in 3 years I'd assume this is largely abandoned internally inside company.

timuthang 3y ago

This is rad. Perfect snow day activity for the kids.

tsunamifury 3y ago

Isn’t this basically what multimodal LLM does as well… it can do anything on the fly it can understand. What’s different here?

navanchauhan 3y ago
These are smaller scale model that you can export and run anywhere. Even the smallest multimodal LLM would be wayyyyyyy bigger than an exported model from this
- jatins 3y ago
  How small are these models? can I export a model here and embed it in an Android/ios app?
  - vineyardmike 3y ago
    You can supposedly embed them for Arduinos, so an app should be no problem.
  - jzombie 3y ago
    The website says they can be embedded in a web app, and export to a format called TensorFlow Lite. I am sure you could embed it. https://www.tensorflow.org/lite https://www.tensorflow.org/lite
    - pona-a 3y ago
      https://www.tensorflow.org/lite/android https://www.tensorflow.org/lite/android TF Lite has first-class Android support with hardware acceleration if I'm not mistaken.
jzombie 3y ago
I think this is more like fine tuning an existing model to recognize features you specifically intend it to, and be light enough to run locally in a browser.
- tsunamifury 3y ago
  Thanks!
- 3y ago

xyzzy_plugh 3y ago

Wow I actually have a perfect use case for this in a hobby project. Great timing. I considered the older version but it's very limited: > The original Teachable Machine only let you train 3 classes, whereas now you can add as many classes as you like. I'm curious to see how far this scales, for example can I have a few hundred thousand classes? If so, what are the consequences, if any?

Macuyiko 3y ago
v1 used a very limited (albeit very easy and already quite impressive) form of transfer learning, e.g. take a pretrained network's 1000dim vector outputs given a bunch of images belonging to three sets (since the original was trained on Imagenet), and then just use K-NN to predict what a set "new" image falls into. v2 does actually finetune weights of a pretrained network. At the time, it was a nice showcase how fast fast JS ML libraries were evolving.

throwaway14356 3y ago

[flagged]

anarticle 3y ago

Who owns the model? Does google get to reuse them?

ahsmha_ 3y ago

do we have any other self hostable, open source alternatives to this?

panarky 3y ago
It is self-hostable. It runs locally in your browser, without sending your training data to any servers. Unless you choose to save it to Google Drive. If you choose to host the model with Google, they get a copy of your weights, but they still don't see your training data. Or you can host it yourself with tensorflow.js And you can also download everything in a zip file, training data and weights, and Google never sees any of it. If you want the source, it's here -> https://github.com/googlecreativelab/teachablemachine-community/ https://github.com/googlecreativelab/teachablemachine-commun...
- pona-a 3y ago
  Note that the source code seems not to be the web UI itself, but rather a collection of samples/helpers to use exported models.
  - Wowfunhappy 3y ago
    It looks like the first version of Teachable Machine really is fully open source, but maybe not the new one? https://github.com/googlecreativelab/teachable-machine-v1 https://github.com/googlecreativelab/teachable-machine-v1

thorum 3y ago

FYI, this is not a new project. Here’s an HN discussion from 6 years ago: https://news.ycombinator.com/item?id=15399132 https://news.ycombinator.com/item?id=15399132

deleted 3y ago
[deleted]
Pikamander2 3y ago
The new link mentions "the first version from 2017", so I'm assuming this release is what Google considers version 2.
- nmstoker 3y ago
  Yes I agree - the (2017) tag in the title doesn't seem right here given the update.

andreaschandra 3y ago

I found old videos 6 years ago about techable machine https://www.youtube.com/watch?v=3BhkeY974Rg&ab_channel=GoogleforDevelopers https://www.youtube.com/watch?v=3BhkeY974Rg&ab_channel=Googl... and in 2019, Google released v2 https://blog.google/technology/ai/teachable-machine/ https://blog.google/technology/ai/teachable-machine/ The tasks are limited, good for kick starter. I think the platform is not fastly developed (?)

dang 3y ago

Discussed at the time: Teachable Machine: Teach a machine using your camera, live in the browser - https://news.ycombinator.com/item?id=15399132 https://news.ycombinator.com/item?id=15399132 - Oct 2017 (90 comments)

krm01 3y ago

This was a fun redesign attempt from years ago https://fairpixels.pro/work1/index.html https://fairpixels.pro/work1/index.html

dwrodri 3y ago

I've done my share of research on MediaPipe[1], but had never heard of Teachable Machine. I'm curious if these efforts are related, as these products looks like they were almost intended to be used together. I am definitely excited to see that Google is investing into more "ML at the edge" use cases, especially in the browser. If you've never heard of MediaPipe before, but this caught your eye, definitely check it out. It has seen large uptake in the VTubing community especially as it has a very performant implementation of body + face + hand pose tracking driven by BlazePose. 1: https://developers.google.com/mediapipe https://developers.google.com/mediapipe