HomeIoT ModelsDeepLabV3-ResNet50

DeepLabV3-ResNet50

Deep Convolutional Neural Network model for semantic segmentation.

DeepLabV3 is designed for semantic segmentation at multiple scales, trained on the COCO dataset. It uses ResNet50 as a backbone.

Qualcomm® QCS8550
QCS8550 (Proxy)
TorchScripttoTFLite
293ms
Inference Time
1-143MB
Memory Usage
95GPU
Layers

Technical Details

Model checkpoint:COCO_WITH_VOC_LABELS_V1
Input resolution:513x513
Number of parameters:39.6M
Model size:151 MB

Applicable Scenarios

  • Anomaly Detection
  • Inventory Management

Licenses

Source Model:BSD-3-CLAUSE
Deployable Model:AI Model Hub License

Supported IoT Devices

  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS8550