RetinaNet
RetinaNet is Meta's image to text model. A single-stage object detection model using a Feature Pyramid Network and focal loss to address class imbalance and achieve high detection accuracy.
meta-retinanet |
| 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 |
|---|---|---|---|---|---|
| RetinaNet | — | — | — | — | Current |
| RetinaNet ResNet-101 V1 FPN | — | — | — | — | Available |
| RetinaNet ResNet-152 V1 FPN | — | — | — | — | Available |
| RetinaNet ResNet-50 V1 FPN | — | — | — | — | Available |
| Retinanet SSD Resnet-101 640x640 | — | — | — | — | Available |