Dataset · Hugging Face

KaraAgroAI/Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation

Name: Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation
Creator: KaraAgroAI
License: cc-by-4.0
Keywords: language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:imagefolder, modality:image, modality:text, library:datasets, library:mlcroissant, doi:10.57967/hf/0959, region:us, object detection, vision, yolo

Drone-based Agricultural Dataset for Crop Yield Estimation This repository contains a comprehensive dataset of cashew, cocoa and coffee images captured by drones, accompanied by meticulously annotated labels. To facilitate object detection, each image is paired with a corresponding text file in YOLO format. The YOLO format file contains annotations, including class labels and bounding box coordinates. The dataset was collected by teams from Ghana (KaraAgro AI) and Uganda… See the full description on the dataset page: https://huggingface.co/datasets/KaraAgroAI/Drone-based-Agricultural-Dataset-f

View on Hugging FaceReport an issue

Author / organization	KaraAgroAI
License (as declared)	cc-by-4.0
Downloads	180 (as reported by Hugging Face)
Likes	16
Created	2 August 2023
Last updated at source	11 August 2023

object detectionvisionyolo

Embed this entry

<iframe src="https://silytics.si/embed/item/d3279250-0358-458e-87a5-87379e5c0a9b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 5 days

180 now (-9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.