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/selection.json from ReNothingg/drone-studio: direct link, hf CLI and curl.
- Browser
- Download file 1.48 kB
-
https://huggingface.co/ReNothingg/drone-studio/resolve/main/observation/selection.json
- Command line
-
hf download hf://ReNothingg/drone-studio/observation/selection.json
-
curl -L -o selection.json https://huggingface.co/ReNothingg/drone-studio/resolve/main/observation/selection.json
1.48 kB
| { | |
| "primary_confidence": 0.31, | |
| "primary_verifier_floor": 0.001, | |
| "primary_support": 0.2, | |
| "support_confidence": 0.2, | |
| "recovery_confidence": 0.31, | |
| "recovery_verifier_floor": 0.5, | |
| "voting": 0.5, | |
| "validated": true, | |
| "purpose": "independent observation; no actuator interface", | |
| "weights": "primary.pt", | |
| "student_weights": "student.pt", | |
| "verifier_weights": "verifier.ts", | |
| "tracking_confidence": 0.31, | |
| "sha256": "afd0d805f1caa7321c3e8bef29cce819f9cf4f9f42ac3196672ac14bc3ee5195", | |
| "component_sha256": { | |
| "primary.pt": "afd0d805f1caa7321c3e8bef29cce819f9cf4f9f42ac3196672ac14bc3ee5195", | |
| "student.pt": "173bc8790f483ff2c9f7d50263842aa98613ce1a584686ac0ae9e2db9b9158ab", | |
| "verifier.ts": "a3f973f6525d6f01f17b20153e2cd5c0038d68886e0660dd976783be6740ffd2", | |
| "verifier.json": "f306af914f5a9680416b5d3f31ff124d208a0ede16a9e6df455d67549e6a0599", | |
| "primary.json": "17146a594452e4cf1207e2dfff3b4a9a983f018f9291a72de6fc57448c443bb1" | |
| }, | |
| "selection_split": "val", | |
| "validation_file": "runs/eval/observation_v7/consensus_val.json", | |
| "test_file": "runs/eval/observation_v7/release_test.summary.json", | |
| "test_gate_passed": false, | |
| "promotion_eligible": false, | |
| "validation_scope": "Val-selected observation profile; held-out test has small per-source recall regressions documented in the report", | |
| "source_student": "runs/observation/train/observation_v7_stage2/weights/best.pt", | |
| "source_verifier": "runs/observation/verifier_v7/verifier.ts" | |
| } | |