This section describes all modules developed for the Maasai Mara team.
Objective
Primary objective of the project is to semi-automate the Maasai Mara's image processing pipelines using BisQue. In other words, the goal is to enable a Rear Seat Observer (at Mara Reserve) to upload the images to BisQue and semi-automate the image annotation and image analysis workflows by letting them leverage BisQue.
BisQue Usage Overview
Users can come to BisQue with a dataset of images and use BisQue as follows:
Predict and Export
Upload the dataset to BisQue
Run the AI model on the uploaded dataset
Update the Predictions, if required
Export the Annotations from BisQue
Annotate and Train
Upload the dataset to BisQue
Hand Annotate the Dataset or Import the Annotations to BisQue
Train the AI model
Report Generation and Evaluations
Upload the dataset to BisQue
Run the AI model on the uploaded dataset
Generate Reports on Animal Counts
Compare the model predictions with ground truth (if exists)
Build Dashboards using BisQue API
In other words, Users can just login to BisQue from a browser and do the following:
BisQue usage - Anticipated Flow chart
Developed Modules
The above mentioned flow can be achieved using the modules described below:
