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README.md

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+---
+license: apache-2.0
+pipeline_tag: object-detection
+library_name: transformers.js
+---
+
+## Usage (Transformers.js)
+
+If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library
+from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
+```bash
+npm i @huggingface/transformers
+```
+
+**Example:** Perform object-detection with `onnx-community/rfdetr_small-ONNX`.
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const detector = await pipeline('object-detection', 'onnx-community/rfdetr_small-ONNX');
+
+const img = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
+const output = await detector(img, { threshold: 0.75 });
+console.log(output);
+```

config.json

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+{
+  "model_type": "rf_detr",
+  "id2label": {
+    "1": "person",
+    "2": "bicycle",
+    "3": "car",
+    "4": "motorcycle",
+    "5": "airplane",
+    "6": "bus",
+    "7": "train",
+    "8": "truck",
+    "9": "boat",
+    "10": "traffic light",
+    "11": "fire hydrant",
+    "13": "stop sign",
+    "14": "parking meter",
+    "15": "bench",
+    "16": "bird",
+    "17": "cat",
+    "18": "dog",
+    "19": "horse",
+    "20": "sheep",
+    "21": "cow",
+    "22": "elephant",
+    "23": "bear",
+    "24": "zebra",
+    "25": "giraffe",
+    "27": "backpack",
+    "28": "umbrella",
+    "31": "handbag",
+    "32": "tie",
+    "33": "suitcase",
+    "34": "frisbee",
+    "35": "skis",
+    "36": "snowboard",
+    "37": "sports ball",
+    "38": "kite",
+    "39": "baseball bat",
+    "40": "baseball glove",
+    "41": "skateboard",
+    "42": "surfboard",
+    "43": "tennis racket",
+    "44": "bottle",
+    "46": "wine glass",
+    "47": "cup",
+    "48": "fork",
+    "49": "knife",
+    "50": "spoon",
+    "51": "bowl",
+    "52": "banana",
+    "53": "apple",
+    "54": "sandwich",
+    "55": "orange",
+    "56": "broccoli",
+    "57": "carrot",
+    "58": "hot dog",
+    "59": "pizza",
+    "60": "donut",
+    "61": "cake",
+    "62": "chair",
+    "63": "couch",
+    "64": "potted plant",
+    "65": "bed",
+    "67": "dining table",
+    "70": "toilet",
+    "72": "tv",
+    "73": "laptop",
+    "74": "mouse",
+    "75": "remote",
+    "76": "keyboard",
+    "77": "cell phone",
+    "78": "microwave",
+    "79": "oven",
+    "80": "toaster",
+    "81": "sink",
+    "82": "refrigerator",
+    "84": "book",
+    "85": "clock",
+    "86": "vase",
+    "87": "scissors",
+    "88": "teddy bear",
+    "89": "hair drier",
+    "90": "toothbrush"
+  },
+  "label2id": {
+    "person": 1,
+    "bicycle": 2,
+    "car": 3,
+    "motorcycle": 4,
+    "airplane": 5,
+    "bus": 6,
+    "train": 7,
+    "truck": 8,
+    "boat": 9,
+    "traffic light": 10,
+    "fire hydrant": 11,
+    "stop sign": 13,
+    "parking meter": 14,
+    "bench": 15,
+    "bird": 16,
+    "cat": 17,
+    "dog": 18,
+    "horse": 19,
+    "sheep": 20,
+    "cow": 21,
+    "elephant": 22,
+    "bear": 23,
+    "zebra": 24,
+    "giraffe": 25,
+    "backpack": 27,
+    "umbrella": 28,
+    "handbag": 31,
+    "tie": 32,
+    "suitcase": 33,
+    "frisbee": 34,
+    "skis": 35,
+    "snowboard": 36,
+    "sports ball": 37,
+    "kite": 38,
+    "baseball bat": 39,
+    "baseball glove": 40,
+    "skateboard": 41,
+    "surfboard": 42,
+    "tennis racket": 43,
+    "bottle": 44,
+    "wine glass": 46,
+    "cup": 47,
+    "fork": 48,
+    "knife": 49,
+    "spoon": 50,
+    "bowl": 51,
+    "banana": 52,
+    "apple": 53,
+    "sandwich": 54,
+    "orange": 55,
+    "broccoli": 56,
+    "carrot": 57,
+    "hot dog": 58,
+    "pizza": 59,
+    "donut": 60,
+    "cake": 61,
+    "chair": 62,
+    "couch": 63,
+    "potted plant": 64,
+    "bed": 65,
+    "dining table": 67,
+    "toilet": 70,
+    "tv": 72,
+    "laptop": 73,
+    "mouse": 74,
+    "remote": 75,
+    "keyboard": 76,
+    "cell phone": 77,
+    "microwave": 78,
+    "oven": 79,
+    "toaster": 80,
+    "sink": 81,
+    "refrigerator": 82,
+    "book": 84,
+    "clock": 85,
+    "vase": 86,
+    "scissors": 87,
+    "teddy bear": 88,
+    "hair drier": 89,
+    "toothbrush": 90
+  }
+}

preprocessor_config.json

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+{
+  "do_convert_annotations": true,
+  "do_normalize": false,
+  "do_pad": false,
+  "do_rescale": true,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "RTDetrImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "pad_size": null,
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 560,
+    "width": 560
+  }
+}