Add pre-trained weights of MaskRCNN + ResNet101 + FPN for Object Detection and Instance Segmentation.
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- Dominant language
- Python
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Description
🚀 The feature
Add pre-trained weights for MaskRCNN with "ResNet101 + FPN" backbone
Motivation, pitch
I wanted to use the pre-trained weights of the maskrcnn method with "resnet101+fpn" backbone, but it seems that only "resnet50+fpn" as backbone is provided.
Alternatives
No response
Additional context
No response
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the existing MaskRCNN ResNet50+FPN pre-trained weights entry point and compare it with the requested ResNet101+FPN backbone. Determine how the weights are obtained and validated for object detection and instance segmentation. Done means the ResNet101+FPN weights are available through the project’s existing model interface and pass the relevant validation checks.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100