https://github.com/ashkan1997/openmv_image_classification
image classification using Openmv H7plus camera
https://github.com/ashkan1997/openmv_image_classification
embedded-systems image-classification image-processing micro-python openmv-cam-h7 openmv-camera
Last synced: 8 months ago
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image classification using Openmv H7plus camera
- Host: GitHub
- URL: https://github.com/ashkan1997/openmv_image_classification
- Owner: ashkan1997
- Created: 2023-05-01T07:49:28.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-06T18:01:51.000Z (over 2 years ago)
- Last Synced: 2025-02-17T01:29:53.752Z (11 months ago)
- Topics: embedded-systems, image-classification, image-processing, micro-python, openmv-cam-h7, openmv-camera
- Language: Jupyter Notebook
- Homepage:
- Size: 2.61 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Openmv_Image_classification
image classification using Openmv H7plus camera
This project is a real-time object detection and classification system that uses OpenMV Cam H7 and TensorFlow Lite.
The system detects movement using the frame differencing method and sends the detected object to a pre-trained TensorFlow Lite model for classification. The classification results are then displayed on the OpenMV IDE.
The project uses a pre-trained TensorFlow Lite model to classify objects, and the dataset used for training the model is the Amazon Arm-Bench dataset.
The dataset was recently released by Amazon, and it helps train pick-and-place robots.
The dataset and the article can be found on http://armbench.s3-website-us-east-1.amazonaws.com/ and https://www.therobotreport.com/amazon-armbench-dataset-helps-train-pick-and-place-robots/, respectively.