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2021-04-17 14:59:53 -07:00
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@@ -7,12 +7,13 @@ Thus, Ranger21 (as in 2021) is a rewrite with multiple new additions reflective
### Ranger21 Status:</br>
<b> April 17 - building benchmark dataset(s)</b> As a cost effective way of testing Ranger21 and it's various options, currently taking a subset of ImageNet categories and building out at the high level an "ImageSubNet50" and also a few sub category datasets. These are similar in spirit to ImageNette and ImageWoof, but hope to make a few relative improvements including pre-sizing to 224x224 for speed of training/testing.
First sub-dataset in progress in ImageBirds, which includes:
n01614925 bald eagle
n01616318 vulture
n01622779 grey owl
n01806143 peacock
n01833805 hummingbird
First sub-dataset in progress in ImageBirds, which includes: </br>
n01614925 bald eagle </br>
n01616318 vulture</br>
n01622779 grey owl</br>
n01806143 peacock</br>
n01833805 hummingbird</br>
</br>
This is a medium-fine classification problem and will use as first tests for this type of benchmarking. Ideally, will make a seperate repo for the ImageBirds shortly to make it available for people to use though hosting the dataset poses a cost problem...
<b> April 12 - positive negative momentum added, madgrad core checked in </b> Testing over the weekend showed that positive negative momentum works really well, and even better with GC.