EleFind-yolo11-elephant
37
1
license:mit
by
iamhelitha
Image Model
OTHER
11B params
New
37 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
25GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
11GB+ RAM
Code Examples
Usagepython
from sahi import AutoDetectionModel
from sahi.predict import get_sliced_prediction
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(
repo_id="iamhelitha/EleFind-yolo11-elephant",
filename="best.pt",
repo_type="model",
)
model = AutoDetectionModel.from_pretrained(
model_type="yolov8", # SAHI uses 'yolov8' for YOLOv8/v11 models
model_path=model_path,
confidence_threshold=0.30,
device="cpu",
)
result = get_sliced_prediction(
image="aerial_image.jpg",
detection_model=model,
slice_height=1024,
slice_width=1024,
overlap_height_ratio=0.30,
overlap_width_ratio=0.30,
postprocess_type="NMS",
postprocess_match_threshold=0.40,
)
print(f"Detected {len(result.object_prediction_list)} elephants")With Ultralytics directlypython
from ultralytics import YOLO
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(
repo_id="iamhelitha/EleFind-yolo11-elephant",
filename="best.pt",
repo_type="model",
)
model = YOLO(model_path)
results = model.predict("aerial_image.jpg", conf=0.30)Deploy This Model
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