https://github.com/ibz-04/obj-detection
Detecting common objects in context with TensorFlow
https://github.com/ibz-04/obj-detection
computer-vision object-detection ocr tensorflow
Last synced: 3 months ago
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Detecting common objects in context with TensorFlow
- Host: GitHub
- URL: https://github.com/ibz-04/obj-detection
- Owner: iBz-04
- Created: 2024-10-20T09:35:39.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-23T10:34:26.000Z (over 1 year ago)
- Last Synced: 2025-08-03T23:56:59.351Z (11 months ago)
- Topics: computer-vision, object-detection, ocr, tensorflow
- Language: Python
- Homepage:
- Size: 9.94 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Object Detection with TensorFlow SSD MobileNet V2
This project demonstrates object detection using TensorFlow's SSD MobileNet V2 model, a pre-trained model from the TensorFlow Object Detection API. The model is capable of detecting common objects in images with bounding boxes, class labels, and confidence scores(ranges from 0 = [lowest] to 1 = [highest] the closer the score is to 1 the better).
## Installation
Run locally
```bash
git clone https://github.com/iBz-04/Obj-detection
cd https://github.com/iBz-04/Obj-detection
```
## Requirements
- Python 3.x
- TensorFlow 2.x
- NumPy
- OpenCV (cv2)
- Pillow (PIL)
- Matplotlib
## Run Locally
Clone the project
```bash
git clone https://github.com/iBz-04/Obj-detection
```
Go to the project directory
```bash
cd https://github.com/iBz-04/Obj-detection
```
Install dependencies
```bash
pip install tensorflow
pip install numpy
pip install opencv-python
pip install pillow
pip install matplotlib
```
* Download the pre-trained SSD MobileNet V2 model from the TensorFlow Model Zoo and place it in the models/ssd_mobilenet_v2_fpnlite_640x640_coco17_tpu-8/ directory
## Example Output
When you run the script on an image, the output will look similar to this:
