Caleb Robinson
Caleb Robinson
This dataset is set up in a multi-label way, however most labels co-occur. The below table shows counts of unique label combinations over the 514 images in the AP and...
The following benchmark datasets need `plot(...)` methods: - [x] ADVANCE (#264) - [x] BeninSmallHolderCashews (#264) - [x] BigEarthNet (#264) - [x] COWC (#300) - [x] CV4AKenyaCropType (#312) - [x] TropicalCycloneWindEstimation...
For running SSL experiments similar to those from the SeCo paper (see screenshot below), we need a way to randomly get "10%" of the training data from a particular dataset....
- [ ] Add torchmetrics confusion matrix to all trainers - [ ] Save the test results to a file in the experiment directory (end of `train.py`)
ETCI2021 is a binary segmentation task with a positive class and a background class. As such, the IoU metric should only be computed over the positive class (i.e. computing IoU),...
Dataset of NAIP imagery sampled random from the NAIP archive and masks generated by a KMeans clustering of pixels on-the-fly.  
https://project.inria.fr/aerialimagelabeling/contest/ says, "For validation, we suggest to remove the first five images of every location (e.g., austin{1-5}.tif, chicago{1-5}.tif) from the training set." It would be nice to implement this in...
I've reached out to the author of the Forest Damages dataset and should update the data table when they respond.
Some of our datasets (idtrees?) are plotting (H, W, 1) images, can we just squash these so we can support older versions of matplotlib?
I've noticed that the docstrings of some datasets aren't complete (in the sense that an unfamiliar user wouldn't know what the data looks like even after reading the docstring). We...