@@ -11,18 +11,15 @@ Mask RCNN is a state-of-art deep learning model for instance image segmentation,
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@@ -11,18 +11,15 @@ Mask RCNN is a state-of-art deep learning model for instance image segmentation,
- Material Form model - Detects the category of the of an object according to its physical product formation (e.g. cup, plate, pen, etc).
- Material Form model - Detects the category of the of an object according to its physical product formation (e.g. cup, plate, pen, etc).
- Plastic model - Detects the category of a object according to its plastic types (e.g. HDPE, LDPE, etc)
- Plastic model - Detects the category of a object according to its plastic types (e.g. HDPE, LDPE, etc)
> The goal to develop these models is to bring transparency & traceability in the world of waste recycling.
> The goal to develop these models is to bring transparency & traceability in the world of waste recycling.
## Model paths in GCP buckets
## Model paths in GCP buckets
| Model categories | Model backbone | Model type | GCP bucket path |
| Model categories | Model backbone | Model type | GCP bucket path |
| ------ | ------ | ----- | ------ |
| ------ | ------ | ----- | ------ |
| Material Model | Resnet | saved model | gs://official_release/version_1/material_model/saved_model/ |
| Material Model | Resnet | saved model & TFLite | [click here](https://storage.googleapis.com/tf_model_garden/vision/waste_identification_ml/material_model.zip) |
| Material Form model | Resnet | saved model & TFLite | [click here](https://storage.googleapis.com/tf_model_garden/vision/waste_identification_ml/material_form_model.zip) |
| Material Form model | Resnet | saved model | gs://official_release/version_1/material_form_model/saved_model/ |
|Plastic model | Resnet| saved model & TFLite | [click here](https://storage.googleapis.com/tf_model_garden/vision/waste_identification_ml/plastic_types_model.zip) |
