Parameters36.6M
GFLOPs0.0
Input Size640px
Best mAP50.8%
LicenseApache-2.0
Architecture
Type
transformer
Backbone
ResNet-50
Neck
HybridEncoder (0.5 expansion)
Head
DETR (eval at decoder layer 3 of 6)
Benchmark Results
Performance on COCO val2017 across different hardware configurations
| Hardware | Runtime | mAP@50-95 | FPS | Latency | VRAM |
|---|---|---|---|---|---|
| NVIDIA A100 | PyTorch FP32 | 50.8% | 25.1 | 39.8ms | 298 MB |
Speed Breakdown(NVIDIA A100)
3.2ms
27.5ms
9.0ms
Preprocess
Inference
Postprocess (NMS)
Usage with LibreYOLO
from libreyolo import LIBREYOLO
# Load model (auto-downloads from HuggingFace if not found locally)
model = LIBREYOLO("librertdetrr50m.pth")
# Run inference
result = model("image.jpg", conf=0.25, iou=0.45)
# Process results
print(f"Found {len(result)} objects")
print(result.boxes.xyxy) # bounding boxes (N, 4)
print(result.boxes.conf) # confidence scores (N,)
print(result.boxes.cls) # class IDs (N,)detrnms-free