mehmetkeremturkcan/UrbanOmniDetect
object-detection model by mehmetkeremturkcan
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
UrbanOmniDetect Calibration-Free View-Agnostic Monocular 3D Object Detection for Urban Scenes This repository hosts the pretrained checkpoints from the CVPR 2026 DriveX paper. Training, evaluation, and inference code (single-image BEV, real-time video, and sliced high-resolution tracking) is in the GitHub repository. Monocular 3D detection on KITTI at IoU ≥ 0.7. The baselines use camera calibration. UrbanOmniDetect does not. Checkpoints are named urbanomnidetect.pt and cover YOLOv8, YOLOv9, YOLO11, and YOLO12 across all scales (n, s, m, l, x) and head configurations (default, P1, P2, P6). The P2 feature-pyramid head is the most accurate, and the YOLO11x-P2 family is recommended. The Files and versions tab lists every checkpoint. Keypoint mAP50:95 on the UrbanOmniView validation set at 640 × 640. Adding the P2 feature level improves every scale. Install the dependencies: Download the recommended checkpoint: Or download every checkpoint at once: The model uses the standard Ultralytics prediction API. Point it at an image…
Read the full model card ↗ · Preview checked 2026-10-01T06:43:22.332Z
Inside the original model card — Document outline
- Highlights
- KITTI Benchmark
- Checkpoints
- Architecture comparison
- Quick Start
- Single-image inference
- Bird's-eye view and real-time video
- Training Data
- Citation
- Acknowledgements
- License
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Documentation belongs to its respective authors. Reported project/model license: agpl-3.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
mehmetkeremturkcan/UrbanOmniDetect is a object-detection model repository published by mehmetkeremturkcan on Hugging Face. The source reports the ultralytics library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- object-detection
- Library
- ultralytics
- Recent downloads (30 days)
- 1,742
- Cumulative likes
- 8
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- agpl-3.0
- Access
- Not gated by Hugging Face
- Created
- 2026-04-03T16:20:06.000Z
- Last modified
- 2026-09-29T14:38:29.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-01T06:41:23.286Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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