Skip to content

WTS Training tools #6

@iingram

Description

@iingram

We need to capture and further develop our system for training custom tflite object detection models for use on the Coral (via camml and in other tools) using labeled but unboxed images that are then boxed using MegaDetector to create the data for the object detector training. We call this process WTS because we are converting data from "Weakly To Strongly" labeled i.e. weakly labeled = only have a label for whole image, strongly labeled = have boxes and labels. While we have done some thinking about the validity of the assumptions inherent in this process, at some point we should enumerate, again examine, and capture those assumptions to help us develop this system in the best way.

However, this particular issue is about just collecting/building the bits and pieces that are necessary to generate data in this way and train from it.

Metadata

Metadata

Assignees

Labels

enhancementNew feature or request

Type

No type

Projects

No projects

Milestone

No milestone

Relationships

None yet

Development

No branches or pull requests

Issue actions