https://github.com/azavea/raster-vision-data - Integration test models for v0.12

These models are used as pretrained models for the training stage in the integration tests that will be released in v0.12.

Published by lewfish about 6 years ago

https://github.com/azavea/raster-vision-data - Models for PyTorch integration tests

These are being released as part of RV 0.10

Published by lewfish over 6 years ago

https://github.com/azavea/raster-vision-data - Chip classification and semantic segmentation PyTorch/fastai models for integration tests

Published by lewfish almost 7 years ago

https://github.com/azavea/raster-vision-data - Pre-trained model for object detection integration test

Models valid for raster vision commit 187f2dba326c2567cb16d983b7faebb84d717ee2 They will be used as a pretrained model when the integration test runs in CI to speed things up.

Object Detection Integration Test model: This model was trained using the object detection integration test experiment to passing.

Chip Classification Integration Test model: This model was trained using the chip classification integration test to almost passing.

Published by lossyrob over 7 years ago

https://github.com/azavea/raster-vision-data - Semantic segmentation integration test pre-trained model

This model was trained using the semantic segmentation integration test experiment (with steps=5000 and batch_size=8). It will be used as a pretrained model when the integration test runs in CI to speed things up.

Published by lewfish over 7 years ago

https://github.com/azavea/raster-vision-data - Partially trained model for object detection integration test

This is a model that has been partially trained (for 2500 steps) on the object detection integration test workflow, and has an F1 score of ~0.9. If trained for another 1000 steps, it gets to an F1 score of 1.0.

Published by lewfish almost 8 years ago

https://github.com/azavea/raster-vision-data - cowc-potsdam prediction packages

Classification and object detection prediction packages to be used with the predict_package command.

Published by lewfish almost 8 years ago

https://github.com/azavea/raster-vision-data - Add JPG cowc-potsdam test data

This is to test the ability to handle non-georeferenced data.

Published by lewfish about 8 years ago

https://github.com/azavea/raster-vision-data - Add cowc-potsdam classification model

This is a Resnet50 model that was pretrained on Imagenet that gets an F1 of 0.97 on test dataset.

Published by lewfish about 8 years ago

https://github.com/azavea/raster-vision-data - Add cowc-potsdam object detection model and test data

Initial release of car test data and model.

Published by lewfish over 8 years ago