nickmuchi/yolos-small-rego-plates-detection cover image

nickmuchi/yolos-small-rego-plates-detection

We present a fine-tuned YOLOs model for license plate detection, which achieved an AP of 47.9 on the test set. Our model was trained for 200 epochs on a single GPU using Google Colab, utilizing the DETR loss and a base-sized YOLOs model. We evaluated our model on various IoU thresholds and obtained an average recall of 0.676 at IoU=0.50:0.95, with location being medium.

We present a fine-tuned YOLOs model for license plate detection, which achieved an AP of 47.9 on the test set. Our model was trained for 200 epochs on a single GPU using Google Colab, utilizing the DETR loss and a base-sized YOLOs model. We evaluated our model on various IoU thresholds and obtained an average recall of 0.676 at IoU=0.50:0.95, with location being medium.

Public
$0.0005 / sec

HTTP/cURL API

You can use cURL or any other http client to run inferences:

curl -X POST \
    -H "Authorization: bearer $DEEPINFRA_TOKEN"  \
    -F image=@my_image.jpg  \
    'https://api.deepinfra.com/v1/inference/nickmuchi/yolos-small-rego-plates-detection'

which will give you back something similar to:

{
  "results": [
    {
      "score": 0.9939407110214233,
      "label": "remote",
      "box": {
        "xmin": 46,
        "ymin": 72,
        "xmax": 181,
        "ymax": 119
      }
    },
    {
      "score": 0.983637809753418,
      "label": "cat",
      "box": {
        "xmin": 12,
        "ymin": 54,
        "xmax": 319,
        "ymax": 470
      }
    }
  ],
  "request_id": null,
  "inference_status": {
    "status": "unknown",
    "runtime_ms": 0,
    "cost": 0.0,
    "tokens_generated": 0,
    "tokens_input": 0
  }
}

Input fields

imagestring

image to detect objects in


webhookfile

The webhook to call when inference is done, by default you will get the output in the response of your inference request

Input Schema

Output Schema