dronefreak/visdrone-yolov11m
object-detection model by dronefreak
Older snapshot: check the original source for current information.
From the publisher
Model card & documentation
Earlier source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Fine-tuned YOLOv11m object detector for aerial imagery using the VisDrone benchmark dataset. This model is part of the VisDrone Detection Model Zoo, a collection of YOLO models trained and evaluated under a common pipeline for aerial object detection. Metrics reported in this model card are computed on the VisDrone test set with ground-truth annotations available for evaluation. VisDrone is a large-scale benchmark for object detection in aerial imagery captured from unmanned aerial vehicles (UAVs). The dataset contains diverse scenes including:…
The latest refresh did not succeed. This is the last available preview; check the original for changes.
Read the full model card ↗ · Preview checked 2026-09-23T04:53:23.214Z
Inside the original model card — Document outline
- YOLOv11m Finetuned on VisDrone
- Detection Showcase
- Performance
- Evaluation Protocol
- VisDrone Model Zoo
- Per-Class Performance
- Evaluation Visualizations
- Precision-Recall Curve
- F1 Curve
- Confusion Matrix
- Dataset
- Classes
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
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
dronefreak/visdrone-yolov11m is a object-detection model repository published by dronefreak 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)
- 1,445
- Cumulative likes
- 4
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- agpl-3.0
- Access
- Not gated by Hugging Face
- Created
- 2026-07-05T20:38:41.000Z
- Last modified
- 2026-07-05T21:01:32.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Ultralytics/YOLO11
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-17T06:35:03.802Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related models
mudler/locate-anything.cpp-gguf
microsoft/table-transformer-structure-recognition
PekingU/rtdetr_r101vd_coco_o365