Comments (1)
In terms of open data, for earth observation, Sentinel 2 data from the ESA is the obvious choice. Visible spectrum + Near infrared is 10m resolution. ESA claim it is possible to identify trees etc from this, some studies claim otherwise. This resolution is the current state of the art in terms of open satellite data. It would be possible to identify individual ships from this data.
For object detection (individual cars etc), there are lots of providers of (expensive) data. One option is to make use of Google's static map image API. (25k per day). There is lots of research using this imagery (see references.md).
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Related Issues (20)
- Clean code + repo
- Write up initial findings + do quick show and tell. HOT 1
- feedforward + visualise HOT 2
- Cache training data
- Error when checking model target
- Setup cuda on gpu machine HOT 1
- split training data into training/validation subsets
- log training epoch errors and persist network weights at training checkpoints
- Class rebalancing
- Get theano working on macbook
- Model parameter versioning
- Slides for GEOS visit
- feed forward single image
- Dockerise
- test
- Skywalker HOT 4
- tidy up and make repo public.
- no pre-trained weights provided HOT 1
- Unexpected token error when trying to build using npm
- skynet data
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