[Dprglist] Would it be possible to make an object detector that works on any object?

Wed Oct 6 06:35:47 PDT 2021

This is an update from the OAK-D-Lite Kickstarter. It is a really powerful
technique to help retrain models. It may also answer some of the issues
brought up in last night's RBNV.
Regards,
Doug P.
Would it be possible to make an *object detector* that works on *any
object?*

We've been curious about this for quite a while.  As it would be so useful
(more on that below).  And now thanks to the Open Source community, *you*
*can* (here
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2FBw_yO9xCSz00YRGOVDw7YcH4h5tO0O1SAC0NVBAfvA1Z_S_JLlQ5b46aIXaAr093vIzWv-4M2WJarxQhBa8R_QexymIi03E4FMkUG1dbG6bv7djvOuDfkKqJ7Kw7Wfq6zm3VVk1w-xbQuMg7rjcCKi9Tb_kscya9reEW2m35SvjGoC5ihsYyt__3jy5yMSlFfM8HPLZZPzF_RWpSayFJlzox6SHDgmgcVthBpYGyrD4NrTUbmnVxOUOykqNn3mIv%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh4%2FZPSlZoHjmpA_tLu2-CTgjEsJLKCgmExBwnmStlLX52M&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107908178%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=JoE%2FINYefhib30fMAUGRlEziAYBSwKeYgLUp41ohimg%3D&reserved=0>)!
And here it is *running on OAK-D-Lite*:
Detect Objects Never Before Seen

Normally, you train on *specific classes* - e.g. *banana*, *apple*,
*raccoon*, etc.  But what if you don't care *what* an object is - just
that *it's
an object*?

We'd been asked this question a lot, *but we didn't have a solution*.
Heads-down on OAK, we thought to ourselves that this is *probably* possible
and really wanted to see it happen, but hadn't pursued it.

And then *boom*, *PINTO0309*
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2FBw_yO9xCSz00YRGOVDw7YTtz_W7d9lMX1zeJEFSoBF6iIp3MtKHlCO8bMcMDYlHpBum4rBCgS-kC-lxarWJQZbo9M_BUHO9iD1bmdBL6_R4vDROHqO6N_mdHZNOADSaGO0Fvnyy7FRYVk9PncFb5rQ%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh5%2FuJGbjOsxNegKyTm1lMv0oPc2wafM48qa-tFtsDxcMdc&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107918168%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=B2OO4EQOCVQdxSpXOgoUt4dj7xNvny3G%2B%2FpW8yyVVtU%3D&reserved=0>
 and *ibaiGorordo*
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2FBw_yO9xCSz00YRGOVDw7YUIYDopaxhYvdgFINFQoskvTkx5CITQOJjvZv8JTn-aYlgTI3NNOxETrS1DY1rtqXkFgTkln-8ErZigZLq8I3Jl6fMDeITSNQ8aCsu_FJqLWw6lQELRPGkAyocaINjhElh4tbG_NXiKjsQaDATDsIGY%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh6%2FUEWCkQAZO_sNKTUc7OQkpnFMLZI_-Pu-rQTcrT1ygaM&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107918168%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=fGT85qmsCrb041EPLn1nU8bvJzrpTlzPoodsmJgcQls%3D&reserved=0>
shared
this in our Discord (*here*
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2F_7Q438LFUsj-9qXXW-Uam_3-0AzMZMqMogxcrPY8ZJfLgHVyFW6J5seQjaTpnM4V%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh7%2FX3H2HJJcG10xM8Pgdgrj1gb8mPW7Wj1z0FU64DKErt0&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107928168%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=ljhGG%2F9HRq07Ro4o8%2Fdkam%2Fnnubfk%2FGAos1%2FA6QcujI%3D&reserved=0>)
with the solution below 5 days after our campaign went live.

And if you check out ibaiGorodo's Github dedicated to this (here
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2FBw_yO9xCSz00YRGOVDw7YUIYDopaxhYvdgFINFQoskvTkx5CITQOJjvZv8JTn-aYlgTI3NNOxETrS1DY1rtqXkFgTkln-8ErZigZLq8I3Jl6fMDeITSNQ8aCsu_FJqLWw6lQELRPGkAyocaINjhElh4tbG_NXiKjsQaDATDsIGY%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh8%2F-pD5JhK7CEhn1lkPSlXUG66r4BEKLM-WNokrvPnYUhM&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107928168%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=Uuct%2Fsz6rRQG1yigdnMjBHyN9WMeY%2FkIG0dJ2UYQ10k%3D&reserved=0>
) *you'll notice something familiar*:
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2FBw_yO9xCSz00YRGOVDw7YUIYDopaxhYvdgFINFQoskvTkx5CITQOJjvZv8JTn-aYlgTI3NNOxETrS1DY1rtqXuufPFjhcn9z1w7_89OvCMA%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh9%2FNM-jpKlFYjUIpKzKblikHleHa031y81Lwvyh2STC-EY&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107938153%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=F2yXkSgh3BMULsld7Z1nPXaNHzAq3QI8rZhjfqr95hQ%3D&reserved=0>

He actually used our campaign image for *OAK-D-Lite as his test sample*!
 (And gave a shout-out to the campaign, which is much appreciated!)

And this class-agnostic object detector *correctly detects OAK-D-Lite as an
object*.  Even though this model had for-sure had *never seen OAK-D-Lite
before*.  So, it's working!
And It Works on All Sorts of Things

Thanks to PINTO0309
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2FBw_yO9xCSz00YRGOVDw7YTtz_W7d9lMX1zeJEFSoBF4u2trM4ihnQS2Zjkz7L8Mu%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh10%2FgMoHDxTNPjI2eBa3QcVpwRu2uj_0K6BovaXnFq7DeIA&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107938153%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=5bQqwJRZRI1oJ%2FiT61MUHwOQ%2FE33mFCSQljQK3wHIs8%3D&reserved=0>'s
conversion of the model to run on OAK-D-Lite, you can try it out when your
unit arrives.  And in the meantime, you can check out the crazy number of
models that PINTO0309 has found, and done the hard work of converting, in
his model zoo, here
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2FBw_yO9xCSz00YRGOVDw7YTtz_W7d9lMX1zeJEFSoBF6iIp3MtKHlCO8bMcMDYlHpJyuxEEu9pSSzbkfqAkRcJw%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh11%2FI9tT1fK3qacYVgrp0sBLL_qipQ9ZR3CSZdO-s5GqEWA&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107948147%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=eyoDHyLPJ7xcw4TSdrv86gTyni4bCkyy4cCleUT3sVE%3D&reserved=0>
.

And then also thanks to IbaiGorordo
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2FBw_yO9xCSz00YRGOVDw7YUIYDopaxhYvdgFINFQosksgPR3EGAUw09sqtQNbZE0D%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh12%2FqKtn3GcjJqPr_VWLaHadDFshkcVmddQXYSB7y50Onoc&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107948147%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=RH3a5oXGN%2FL54hzWsVXBGfnsQAT%2Bst9mE5bMbP%2Bm%2F1I%3D&reserved=0>
for
sharing his experiments with this model, here
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2FBw_yO9xCSz00YRGOVDw7YUIYDopaxhYvdgFINFQoskvTkx5CITQOJjvZv8JTn-aYlgTI3NNOxETrS1DY1rtqXrcKvgbI4QOrNF24krtLFsJAwAvs30sxZohsbq8Z1zll%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh13%2FPtDPBB4nOFqiiuomSnHI93BVZsqyOBn_FQouimiTO98&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107958146%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=oyI%2Fmj%2FG5l2idcZ6BLl49H81ZHiMKgQ%2FcheVm0ZQpgE%3D&reserved=0>,
which we'll reproduce (plagiarize) below - as they're super cool examples
that show how well this model works.

*A Cool Stop Motion Series*
 Original video by Animist: https://youtu.be/uKyoV0uG9rQ
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2F5Ixklp3QcabAdTzhlCDOgiJ3lFAafZF0Zirf8MCKZfjZlsmjQ58WjfMErmW0H_RD%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh14%2FXArQX7odP-apBtdXaIeeYiZ2S9eBk8dNpM4yhP_lGHA&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107968145%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=UBJTlJbcxNW6I3CpCCUi6SLvKFAUdRArYPFNCT1IXto%3D&reserved=0>

*A Cabybara*

He could have made this up and I (Brandon) would have no idea if he did.
So I at least am no smarter than this class-agnostic object detector in
this case.  I know it's a thing, but not what it is.
 Original image:
https://commons.wikimedia.org/wiki/File:Capybara_portrait.jpg
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2F72XxU03wGIudEQFoB9UCGrCv2c4mwxkrrV_78a2oJwOh2OGXaaX4Z5UeMe80Vmj_i-lMFLVAveYsmA32K5dFpsA7Z86OX631ri8KrxF0Rjc%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh15%2FpTWMPwk6uw8jAhBnq_Zo1mLsIbRQgzHHkDWkdt1iV1w&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107968145%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=7Mkn7Tqn5bwqID34qEF7%2FsSx60%2FVy%2BKUT3gzlXGgxco%3D&reserved=0>

*Coins*

All of which I've never seen.
 Original image: https://commons.wikimedia.org/wiki/File:Japanese_Coins.jpg
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2F72XxU03wGIudEQFoB9UCGrCv2c4mwxkrrV_78a2oJwOkfCuRxPaHhraq2I294XtNrEKTQI-tq6X52rkHD6pRtSUW_FCblH10oetgz53jhgI%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh16%2FZJBrmEuaC38PPSzdXp11OSBMxSKW82kq_e0x5dTMurY&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107978131%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=hX%2FJb8aNLoioLbhE6y0isi8XHkImU0P25oiu2zGafPY%3D&reserved=0>

*Shoes*
 Original image: https://commons.wikimedia.org/wiki/File:Japanese_Coins.jpg
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2F72XxU03wGIudEQFoB9UCGrCv2c4mwxkrrV_78a2oJwOkfCuRxPaHhraq2I294XtNrEKTQI-tq6X52rkHD6pRtSUW_FCblH10oetgz53jhgI%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh17%2F6ZO0bsiYfJ0fCKNPb9wnITMSq5aoSFrEVh3X2hiKT_E&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107978131%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=30QsF5TW8G2ZGKXHjU2c004y8zIOIn%2B1%2FbgAy1pwvpg%3D&reserved=0>

*Some Cool New SpaceX Thing*

Is that a rendering or real life?
 Original image:
https://en.wikipedia.org/wiki/Spacecraft#/media/File:SpaceX_Crew_Dragon_(More_cropped).jpg
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2F-QYxrLLAE-TM8D3U_fdmudCBIsPA3mViJ_Vf_f20QYOnVcQsEg-gJz2RtsesBoOSDfNUrulnoWQxPMTVMeiKDeW_orL8kfP3J6Wr4lD7ARGRHjSPtIKGJV0lf7UD3lbU_qCTNvAch2222RdS_rMVVw%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh18%2Fbl86J7BKk-fcuETk3XAddkapEQbd7oHNmB0SqS-Y6JE&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107988123%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=X3oLeakfo0%2FNE9WO%2FTVosdzO%2FqhsBBw5vsW9j8fqM8E%3D&reserved=0>

*A Window*
 Original image:
https://commons.wikimedia.org/wiki/File:Window_-_Paddington_-_London.JPG
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2F72XxU03wGIudEQFoB9UCGrCv2c4mwxkrrV_78a2oJwOtonLmjpc-h29l0W7wvRQmhveEyk_QmrRRx70ijB8MbN_3JKIfUY_u1AnDGqktg9A%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh19%2Ff3gqUvNacYn10ZuCtY4TMyZ09EjdTkVYQEgI2RksiSc&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107988123%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=5bqP%2B%2Bv8VivfKkKBhfgUcVa6Ywojqxh%2Be0u1JAkX1oc%3D&reserved=0>And
Now To Play with it on OAK-D-Lite!
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2FpGVEG5T9w7LP_74vNtZiwKfPhhXVwL4vO_Xv8CXD7oT9tNJ1cyb_SB-ESaukqjlk2dC9t3GN2qD6c7yOJJw1Sodu1JzOiWPlROM9LJ8t2JF5Z45NV4HuOsRpU51I7l3yjncDpaqsCgQrllCGmIqpXMUECT_V3DOFxz-g06abXEF5uMcvaB9R5CSoVL0A764M3GSPML7O3Xd2CXFVQv7brlZcmKgVphUjd-56VdQlSk6Yho7phqXF3V7XFFL4TQ2q%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh20%2FFPPjN2TCgUmQcUehR_c9OGFjMLdRwkll4AFxhoyzXNI&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107998118%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=4ArdBwWU69ZvaII3JBgxKYUe%2FT3wEgNj40w%2FsODB%2Bxw%3D&reserved=0>

You can see it's not perfect.  But it sure does pick up a lot of things.
It even picked up the glasses on my face when trying it out:
And Why Is This Useful?  Model Re-Training.

This solves one of the classic *chick-and-egg problems* of deploying
custom-trained models in the wild:

   - What if my model *isn't picking up objects that it should*?  How do I
   know this?

This is a painful problem.  Particularly if you are deploying on the edge -
where you probably don't want to be sending back tons of data to the cloud
to check.

Having a generic object detector is a *hugely beneficial piece* to solving
it!

Here's the idea:

   - *Run this generic model in parallel with your custom model* (recall on
   OAK-D-Lite you can do arbitrary series/parallel combinations of neural
   models - only limited by DDR bandwidth/size).
   - *Monitor* on-device* when the generic model detects things your custom
   model doesn't*
   - *If/when* this happens, *save/send the cropped results from the
   generic detector* back for analysis and potentially re-training your
   custom model.

And best of all, since OAK is plug&play with *Roboflow*
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2F_7Q438LFUsj-9qXXW-Uam2QmTB0cC_vLPCsUDYzwDgUUW4tiSJ9dR0XuHH1cuGVCnz5yV7TzsFU1zc57UzbFPA%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh21%2FxuQXmr1AZvariQpIDuyKduYq1a4aFegBzuAx8NBqiX0&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942107998118%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=KqDQgyFzOPgsEpJUCLYbT0wXAZt05f5lNG9sc2%2FDSMw%3D&reserved=0>
-
you can automate all of this with their *Upload API*
<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Femails.kickstarter.com%2Fss%2Fc%2F_7Q438LFUsj-9qXXW-Uam2QmTB0cC_vLPCsUDYzwDgWKPqhzZpsmw297CfnKNeJmo4Lnm0yo24SiSe2q0w138Q%2F3fx%2FYEU8u-ZJQ9iOQlUeuhziZA%2Fh22%2FXyG7KwGgWD9M4HOZPEq4Tw1sChFghvO96-3b7mYFY-Y&data=04%7C01%7C%7C1c6128d537ad48e2e40f08d988887efb%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C637690942108008119%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=eS7UY6xrJqohy0P6suCJ28siEbbic3fxCfevTZqY3zo%3D&reserved=0>
.

Pretty cool.

*Get feedback automatically on all the objects your model **isn't*
* detecting* - have them *uploaded automatically* so you can label the ones
that should be detected - and *retrain your model over time to continuously
get smarter from this*.

That's all for today.  Likely some other cool thing will be done with OAK
by tomorrow that we can share!

 - OpenCV/Luxonis Team
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