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TrashTron2 is a Instance-Segmentation-Model for Trash ๐Ÿ—‘๏ธ

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TrashTron2

TrashTron2 is a Instance-Segmentation-Model based on FAIR's Detectron2. TrashTron2 is currently trained on over 200+ Images of trash provided by TACO.

You can use and train TrashTron2 in the associated TrashTron2 Notebook with Google Collab. See the instruction under GettingStarted.

Outcome

Models

Scores

Model AP AP50 AP75
ResNet-50 58.314 73.825 61.755
ResNet-101 59.584 76.967 62.230
ResNext-101 59.305 78.326 63.566

Accuracy

Accuracy

False Negatives

False-Negatives

False Positives

False-Positives

To-Do's

  • release v0.1

  • Increase number of annotated images

  • fine tune models on new images

  • release v0.2

  • deploy Resnet-50 on NVIDIA JetsonNano

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TrashTron2 is a Instance-Segmentation-Model for Trash ๐Ÿ—‘๏ธ

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