Object Detection
ultralytics
Russian
yolov8
drone-detection
anti-uav
small-object-detection
Eval Results (legacy)
Instructions to use ReNothingg/drone-studio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use ReNothingg/drone-studio with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("ReNothingg/drone-studio", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download observation/verifier.json from ReNothingg/drone-studio: direct link, hf CLI and curl.
- Browser
- Download file 350 Bytes
-
https://huggingface.co/ReNothingg/drone-studio/resolve/main/observation/verifier.json
- Command line
-
hf download hf://ReNothingg/drone-studio/observation/verifier.json
-
curl -L -o verifier.json https://huggingface.co/ReNothingg/drone-studio/resolve/main/observation/verifier.json
350 Bytes
| { | |
| "threshold": 0.17500000000000002, | |
| "input_size": 96, | |
| "context": 1.8, | |
| "classes": { | |
| "drone": 0, | |
| "other": 1 | |
| }, | |
| "best_epoch": 2, | |
| "selection_split": "val", | |
| "drone_patch_recall": 0.9908727895037079, | |
| "other_patch_rejection": 0.6121673003802282, | |
| "training_data": "data/observation_verifier_v7", | |
| "end_to_end_validated": false | |
| } | |