Faster R-CNN
Faster R-CNN is Meta's image to text model. A two-stage object detection model based on the Faster R-CNN architecture, combining a region proposal network with a detection head for accurate bounding-box prediction.
| Specifications | |
|---|---|
meta-faster-r-cnn | |
| Image to Text | |
| Active | |
| Meta | |
| Image | |
| Text | |
Capabilities
Input1/5
Text·
Image✓
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities0/13
Reasoning·
Adaptive Reasoning·
Function Calling·
Parallel Function Calling·
Structured Outputs·
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| Faster R-CNN MobileNet V3 | — | — | — | — | Available |
| Faster R-CNN Inception-ResNet 2 | — | — | — | — | Available |
| Faster R-CNN | — | — | — | — | Current |
| Faster R-CNN ResNet-101 | — | — | — | — | Available |
| Faster R-CNN ResNet-152 | — | — | — | — | Available |
| Faster R-CNN ResNet-50 | — | — | — | — | Available |
| Faster R-CNN ResNet50 | — | — | — | — | Available |