Meehai/dronescapes
Dronescapes dataset Visit the official website for more information: link. This dataset was introduced in our ICCV 2023 workshop paper: link. For citing, see at the end of the page. Note: An fully-automated extended variant of this dataset (generating new modalities as inputs) is available at this repository: link. 1. Downloading the data git lfs install # Make sure you have git-lfs installed (https://git-lfs.com) git clone… See the full description on the dataset page: https://huggingface.co/datasets/Meehai/dronescapes.
real time results
add TODO
MTL
results for the other tasks
model noth method
slight update
this too
updates to readme
little update 2
little readme update
benchmark updates
whitespace
Merge branch 'main' of hf.co:datasets/Meehai/dronescapes
update readme
raw camera info
Update README.md
Update README.md
latest changes
edges_gb
scripts updates and readme
remove files irrelevant to this dataset
normals_svd
semisup
test/val
train set
normals_svd for marigold annotated
forgotten files
train set
semisup
test set
val set
annotated only
mapilary converted for test set
fixes in scripts
more updates to dronescapes. Added TaskMapper and more control over mappings. We can do generic dependencies now, not just semantic.
-1
more fixes to multitask dataset. Seems stable.
remove breakpoint
semantic mapper script and multitask reader fixes
deleted semantics statistics (useless) and updated the reader with various fixes
updated notebook
delete old semantic_mask2former_swin_mapillary_converted files and use a semantic mapper directly
Seems to work. Implemented SemanticMapper in DronescapesRepresentation. Not fully generic, but good enough.
almost done
refactor multitask gathering to support dependencies
readme updates
mask2former coco/mapillary
rm this too
remove m2f in test set
two mask2formes and one marigoldr