CenterNet ResNet-v1-101
CenterNet ResNet-v1-101 is Google's image to text model. CenterNet object detection model using a ResNet-v1-101 backbone, detecting objects as keypoints for efficient bounding box prediction.
google-centernet-resnet101 |
| Image to Text |
| Active |
| Google |
| 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 |
|---|---|---|---|---|---|
| CenterNet ResNet-v1-101 | — | — | — | — | Current |
| CenterNet Hourglass | — | — | — | — | Available |
| CenterNet Hourglass Keypoints | — | — | — | — | Available |
| CenterNet ResNet-v1-50 | — | — | — | — | Available |
| CenterNet ResNet-v1-50 Keypoints | — | — | — | — | Available |
| CenterNet ResNet-v2-50 | — | — | — | — | Available |
| CenterNet ResNet-v2-50 Keypoints | — | — | — | — | Available |