diff --git a/aerial-cows/README.dataset.txt b/aerial-cows/README.dataset.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7d9067acd166b9b9d41293884a749c687044de8 --- /dev/null +++ b/aerial-cows/README.dataset.txt @@ -0,0 +1,38 @@ +# aerial-cows-kt2wd-3jxcj-uvfx > 2025-03-13 5:32am +https://universe.roboflow.com/rf-100-vl/aerial-cows-kt2wd-3jxcj-uvfx + +Provided by a Roboflow user +License: MIT + +# Overview + +- [Introduction](#introduction) +- [Object Classes](#object-classes) + +# Introduction + +This dataset is designed to solve the task of detecting cows in aerial images, aiding in applications such as livestock counting and monitoring. The dataset consists of a single class: + +- **Cow**: Represents individual cows as observed from above. + +# Object Classes + +## Cow + +### Description + +Cows in this dataset appear as distinct shapes on open landscapes. From an aerial view, cows may seem small but are recognizable by their characteristic body shape and size, typically larger than other features in the landscape such as rocks or bushes. + +### Instructions + +- **Bounding Rules**: Draw a bounding box around each cow visible in the image. Each box should encompass the entire cow's visible body, including any extremities like tails or legs if visible. + +- **Object Appearance**: Cows often appear as elongated shapes from above. They are typically situated in open areas and may cast a shadow, which should not be included in the annotation. + +- **Occlusion**: If a cow is partially occluded by terrain, include the visible portions in the bounding box as accurately as possible. Do not annotate if less than 20% of the cow is visible. + +- **Size Constraints**: Do not label objects smaller than 10 pixels in either dimension to ensure that the object is a cow. + +- **Clarity and Identification**: Only annotate if the object clearly resembles a cow. Do not include any objects that might be confused with other elements like rocks or terrain features unless you can clearly distinguish the cow-like form. + +While annotating, ensure each cow is bounded separately, avoiding overlaps in annotation with other cows or labels. \ No newline at end of file diff --git a/aerial-cows/README.roboflow.txt b/aerial-cows/README.roboflow.txt new file mode 100644 index 0000000000000000000000000000000000000000..294cc08e1356094b074a83e57848791bcead0d47 --- /dev/null +++ b/aerial-cows/README.roboflow.txt @@ -0,0 +1,27 @@ + +aerial-cows-kt2wd-3jxcj-uvfx - v1 2025-03-13 5:32am +============================== + +This dataset was exported via roboflow.com on March 14, 2025 at 1:53 AM GMT + +Roboflow is an end-to-end computer vision platform that helps you +* collaborate with your team on computer vision projects +* collect & organize images +* understand and search unstructured image data +* annotate, and create datasets +* export, train, and deploy computer vision models +* use active learning to improve your dataset over time + +For state of the art Computer Vision training notebooks you can use with this dataset, +visit https://github.com/roboflow/notebooks + +To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com + +The dataset includes 1107 images. +Aerial-cows-kt2wd-3jxcj-uvfx are annotated in COCO format. + +The following pre-processing was applied to each image: + +No image augmentation techniques were applied. + + diff --git a/aerial-cows/test/DJI_0043_MOV-143_jpg.rf.9f4eab3ec323d8ba3d7ebe845f544fbc.jpg b/aerial-cows/test/DJI_0043_MOV-143_jpg.rf.9f4eab3ec323d8ba3d7ebe845f544fbc.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d830760171cff5845a160ee3c2c323fb87195981 --- /dev/null +++ b/aerial-cows/test/DJI_0043_MOV-143_jpg.rf.9f4eab3ec323d8ba3d7ebe845f544fbc.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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