Model: imageomics/mmla
Author: imageomics
Pipeline: object-detection
Library: ultralytics
Tags: ultralytics, biology, CV, images, animals, object-detection, YOLO, fine-tuned, zebra, giraffe, onager, dog, en, dataset:imageomics/mmla_mpala, dataset:imageomics/mmla_wilds, dataset:imageomics/mmla_opc, arxiv:2504.07744, base_model:Ultralytics/YOLO11, base_model:finetune:Ultralytics/YOLO11, doi:10.57967/hf/7327, license:mit, region:us
Base models (finetune): id: Ultralytics/YOLO11
Card metadata: license: mit
language: en
library_name: ultralytics
tags: biology, CV, images, animals, object-detection, YOLO, fine-tuned, zebra, giraffe, onager, dog
datasets: imageomics/mmla_mpala, imageomics/mmla_wilds, imageomics/mmla_opc
metrics: precision, recall, mAP50, mAP50-95
base_model: Ultralytics/YOLO11
model_description: This model is a fine-tuned version of YOLOv11m optimized for detection and classification of wildlife from low-altitude drone imagery.  It has been trained to identify zebras (Plains and Grevy's),  giraffes (reticulated and Masai), Persian onagers, and African Painted  dogs with high accuracy across diverse environmental conditions.
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Created: 2025-05-12 03:23:39