Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Updated Yolov5, making sure the model can be trained and deployed to Roboflow.
The major changes is the removal of custom config, where model head layers were defined explicitly, rather than using a predefined confugration such as yolov5s.
Type of change
Please delete options that are not relevant.
[x] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] This change requires a documentation update
How has this change been tested, please provide a testcase or example of how you tested the change?
I ran the entire notebook, training and deploying the model to Roboflow.
Any specific deployment considerations
For example, documentation changes, usability, usage/costs, secrets, etc.
Description
Updated Yolov5, making sure the model can be trained and deployed to Roboflow.
The major changes is the removal of custom config, where model head layers were defined explicitly, rather than using a predefined confugration such as
yolov5s.Type of change
Please delete options that are not relevant.
How has this change been tested, please provide a testcase or example of how you tested the change?
I ran the entire notebook, training and deploying the model to Roboflow.
Any specific deployment considerations
For example, documentation changes, usability, usage/costs, secrets, etc.
Docs