I'm currently on a push to expand the scope of image based datasets on the Hub. There's certainly a lot already, but for anyone who's looked closely, there's not a whole lot of standardization. I am to fix that, datasets under the 
text
I'm currently on a push to expand the scope of image based datasets on the Hub. There's certainly a lot already, but for anyone who's looked closely, there's not a whole lot of standardization. I am to fix that, datasets under the 
https://cdn-avatars.huggingface.co/v1/production/uploads/1657564812787-5f10cb46636b661bdc42318b.png
https://huggingface.co/timm
timm
org
resource
https://huggingface.co/timm
 and 
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 and 
https://cdn-avatars.huggingface.co/v1/production/uploads/604a5184dca2c7ac7508b849/ld-CxkhwjLSy4sBkxmaUS.jpeg
https://huggingface.co/pixparse
pixparse
org
resource
https://huggingface.co/pixparse
 orgs will serve as canonical examples for various task / modality combinations and be useable without fuss in libraries like 
text
 orgs will serve as canonical examples for various task / modality combinations and be useable without fuss in libraries like 
timm
`timm`
inline_code
, 
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, 
OpenCLIP
`OpenCLIP`
inline_code
, and hopefully more.
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, and hopefully more.
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I just uploaded the first multi-label dataset that I'll support with 
text
I just uploaded the first multi-label dataset that I'll support with 
timm
`timm`
inline_code
 scripts soon: 
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 scripts soon: 
https://huggingface.co/datasets/timm/plant-pathology-2021
timm/plant-pathology-2021
dataset
resource
https://huggingface.co/datasets/timm/plant-pathology-2021
text
new_line
new_line
Next up object detection & segmentation! I've got an annotation spec sorted out, a lot of datasets ready to rip, and yeah that means 
text
Next up object detection & segmentation! I've got an annotation spec sorted out, a lot of datasets ready to rip, and yeah that means 
timm
`timm`
inline_code
 support for object detection, eventually segmentation, is finally under development :O
text
 support for object detection, eventually segmentation, is finally under development :O
new_line
I'm currently on a push to expand the scope of image based datasets on the Hub. There's certainly a lot already, but for anyone who's looked closely, there's not a whole lot of standardization. I am to fix that, datasets under the https://huggingface.co/timm and https://huggingface.co/pixparse orgs will serve as canonical examples for various task / modality combinations and be useable without fuss in libraries like `timm`, `OpenCLIP`, and hopefully more.

I just uploaded the first multi-label dataset that I'll support with `timm` scripts soon: https://huggingface.co/datasets/timm/plant-pathology-2021 

Next up object detection & segmentation! I've got an annotation spec sorted out, a lot of datasets ready to rip, and yeah that means `timm` support for object detection, eventually segmentation, is finally under development :O

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