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Coffee Cup Dataset

The Coffee Cup dataset is part of our Data Capture Tutorial. The dataset has different types of coffee cups on different poses and surfaces with annotations for Object Detection and Semantic Segmentation.

Object Detection Benchmark (50 epochs)

These tables provide the object detection and segmentation metrics for Vision models trained on the Coffee Cup dataset.

COCO Metrics - RGB - (640x640) | ONNX

Model mAP@0.5 mAP@0.5..0.95 seg-mAP@0.5 seg-mAP@0.5..0.95
modelpack-csp19-medium-640x640-rgb 0.995 0.978 0.891 0.863
ultralytics-yolov8n-640x640-rgb 0.993 0.991 0.993 0.982

Timing Benchmark

Time information is not included in this validation because they can change depending on the hardware quality of the cloud servers in EdgeFirst Studio. The timing benchmarks are provided when the models are run on specific platforms such as the i.MX 8M Plus.

COCO Metrics - RGB - (640x640) | TFLite | INT8

Model mAP@0.5 mAP@0.5..0.95 seg-mAP@0.5 seg-mAP@0.5..0.95 Time (ms)
modelpack-csp19-medium-640x640-rgb 0.995 0.911 0.884 0.856 45.53
ultralytics-yolov8n-640x640-rgb 0.995 0.891 0.995 0.970 170.89

BSP Version

i.MX 8M Plus is flashed with NXP Yocto BSP 6.12.

Dataset Information

Groups:

  • train: 915 images
  • val: 229 images

The dataset contains a total of 1399 images and one class.

Ungrouped Images

There are 255 images in this dataset that are not associated to the train or val groups.

Class Distribution
Coffee Cup Dataset Gallery

License

This dataset is licenced by Au-Zone Technologies Inc. under the Creative Commons Attribution-NonCommericial-ShareAlike 4.0 license. You are welcome to use this dataset for non-commercial purposes as long as you also credit Au-Zone Technologies Inc. as the creator. If you adapt and share this dataset, you must also share it under the terms of this license. If you wish to license this dataset with different terms - such as commercially - please contact us.