onnxmodelzoo/rcnn-ilsvrc13-9
By onnxmodelzoo · ↓ 0 · ♥ 0 · Updated 2025-09-30
What's in this repo
This page lists the files in onnxmodelzoo/rcnn-ilsvrc13-9, including rcnn-ilsvrc13-9.onnx.
- 1 ONNX models (.onnx files)
- 3 files, including 1 .md, 1 .onnx
- Last updated 2025-09-30
ONNX files
| File | Size | Download |
|---|---|---|
| rcnn-ilsvrc13-9.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
language: en license: apache-2.0 model_name: rcnn-ilsvrc13-9.onnx tags:
- validated
- vision
- classification
- rcnn_ilsvrc13
R-CNN ILSVRC13
| Model | Download | Download (with sample test data) | ONNX version | Opset version |
|---|---|---|---|---|
| R-CNN ILSVRC13 | 32 MB | 231 MB | 1.1 | 3 |
| R-CNN ILSVRC13 | 32 MB | 231 MB | 1.1.2 | 6 |
| R-CNN ILSVRC13 | 32 MB | 231 MB | 1.2 | 7 |
| R-CNN ILSVRC13 | 32 MB | 231 MB | 1.3 | 8 |
| R-CNN ILSVRC13 | 32 MB | 231 MB | 1.4 | 9 |
Description
R-CNN is a convolutional neural network for detection. This model was made by transplanting the R-CNN SVM classifiers into a fc-rcnn classification layer.
Paper
Rich feature hierarchies for accurate object detection and semantic segmentation
Dataset
Source
Caffe BVLC R-CNN ILSVRC13 ==> Caffe2 R-CNN ILSVRC13 ==> ONNX R-CNN ILSVRC13
Model input and output
Input
data_0: float[1, 3, 224, 224]
Output
fc-rcnn_1: float[1, 200]
Pre-processing steps
Post-processing steps
Sample test data
random generated sampe test data:
- test_data_set_0
- test_data_set_1
- test_data_set_2
- test_data_set_3
- test_data_set_4
- test_data_set_5
Results/accuracy on test set
On the 200-class ILSVRC2013 detection dataset, R-CNN’s mAP is 31.4%.
License
Model info
Created: 2025-09-30
Updated: 2025-09-30
View on Hugging FaceFiles (3)
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