Kosta Derpanis    @CSProfKGD    11/23/2021      

Glad to see so many uses for our Penn Action dataset @dreamdragonz @zhweiyu https://t.co/1mBKkxvzZP https://t.co/lAIqZvCuH4
  
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  Related  

AK    @ak92501    11/24/2021      

CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning abs: https://t.co/X7tGedHYhP dataset: https://t.co/Yi94DrMchO a large-scale dataset of openly-sourced and weakly-labeled microscopy images (890K images, 894 classes)
  
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TheSequence    @TheSequenceAI    12/4/2021      

🔥2 New Super Models to Handle Any Type of Dataset We build models optimized for a specific type of dataset like: - text - audio - computer vision - etc. Is it possible to create a general model? @DeepMind unveils the answer. 1/7
  
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Peng Qi    @qi2peng2    11/23/2021      

Crowdsourcing is hard, technical work. I wish one day I get to write a paper on a crowdsourced dataset that mainly focuses on the idea behind the data, the dataset itself, and the 1000000s of considerations and technical hurdles on the way. Not the boilerplate baseline models.
  
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AK    @ak92501    12/3/2021      

PartImageNet: A Large, High-Quality Dataset of Parts abs: https://t.co/q8AfX8mVab a large, high-quality dataset with part segmentation annotations. It consists of 158 classes from ImageNet with approximately 240000 images
  
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