dronefreak/RDD2022
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How to use 7h3cyb3rm0nk/rcd with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("object-detection", model="7h3cyb3rm0nk/rcd") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, AutoModelForObjectDetection
processor = AutoImageProcessor.from_pretrained("7h3cyb3rm0nk/rcd")
model = AutoModelForObjectDetection.from_pretrained("7h3cyb3rm0nk/rcd", device_map="auto")DETR (7h3cyb3rm0nk/rcd) fine-tuned on RDD2022 for 4 road-damage classes.
| id | class |
|---|---|
| 0 | longitudinal_crack |
| 1 | transverse_crack |
| 2 | alligator_crack |
| 3 | pothole |
dronefreak/RDD2022 (5000 train / 800 val images)| metric | value |
|---|---|
| mAP@0.5 | 0.032 |
| mAP@[.5:.95] | 0.009 |
Uploaded as version rdd2022-detr-20ep-20261022-043741 on 2026-10-22 04:37 UTC.
Unable to build the model tree, the base model loops to the model itself. Learn more.