diff --git a/roboflow-trained-dataset/README.dataset.txt b/roboflow-trained-dataset/README.dataset.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba65a9d843fc40333410841f6daf2d771d1b96b0 --- /dev/null +++ b/roboflow-trained-dataset/README.dataset.txt @@ -0,0 +1,53 @@ +# roboflow-trained-dataset-j7nxb-lxob > 2025-03-13 6:47am +https://universe.roboflow.com/rf-100-vl/roboflow-trained-dataset-j7nxb-lxob + +Provided by a Roboflow user +License: MIT + +# Overview +- [Introduction](#introduction) +- [Object Classes](#object-classes) + - [Bobcat](#bobcat) + - [Cattle](#cattle) + - [Ocelot](#ocelot) + - [Opossum](#opossum) + +# Introduction +This dataset is designed to solve the task of detecting and classifying various wildlife and domestic animals from images. The classes included are Bobcat, Cattle, Ocelot, and Opossum. Each class will be introduced with a brief description of its distinctive features. + +# Object Classes +## Bobcat +### Description +Bobcats are medium-sized wildcats characterized by a stocky build, tufted ears, and distinctive facial ruff. They often have a spotted coat and a short "bobbed" tail. + +### Instructions +- Annotate the entire visible body of the bobcat, including limbs and tail. +- Ensure the bounding box encompasses all extremities without excluding any part of the visible body. +- Do not include obscured parts if less than 20% of the animal is visible. + +## Cattle +### Description +Cattle are large domestic animals with robust bodies and short legs. They have a generally smooth coat and distinctive broad snouts. + +### Instructions +- Capture the full body within the bounding box, ensuring all visible parts of the head, body, and legs are included. +- Pay attention to the ears and snouts, as these are distinctive features. +- Avoid annotating if the animal is not sufficiently visible to clearly identify as cattle. + +## Ocelot +### Description +Ocelots are small wildcats known for their sleek bodies and striking rosette-patterned fur. They have rounded ears and a long tail. + +### Instructions +- Draw the bounding box around the full visible extent of the ocelot, focusing on capturing its rosette-patterned fur. +- Make sure to include the tail and ears within the annotation. +- Parts that are heavily obscured should be excluded unless enough is visible for clear identification. + +## Opossum +### Description +Opossums are small to medium-sized marsupials with pointed snouts, stiff whiskers, and typically white to grayish fur. Their tails are long and scaly. + +### Instructions +- Annotate the entire visible body of the opossum, including the head, body, and tail. +- Ensure the bounding box includes the distinctive pointed snout. +- Do not annotate if the visibility is too low to confidently identify the species. \ No newline at end of file diff --git a/roboflow-trained-dataset/README.roboflow.txt b/roboflow-trained-dataset/README.roboflow.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d252ce85f2aacf6d650c8448f504a606f340888 --- /dev/null +++ b/roboflow-trained-dataset/README.roboflow.txt @@ -0,0 +1,27 @@ + +roboflow-trained-dataset-j7nxb-lxob - v1 2025-03-13 6:47am +============================== + +This dataset was exported via roboflow.com on March 14, 2025 at 5:01 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 1960 images. +Roboflow-trained-dataset-j7nxb-lxob are annotated in COCO format. + +The following pre-processing was applied to each image: + +No image augmentation techniques were applied. + + diff --git a/roboflow-trained-dataset/test/01070516_JPG_jpg.rf.1f55a184c547455f0eef872220db197b.jpg b/roboflow-trained-dataset/test/01070516_JPG_jpg.rf.1f55a184c547455f0eef872220db197b.jpg new file mode 100644 index 0000000000000000000000000000000000000000..03d27acf0dc273261388533a93a4440e66c61f92 --- /dev/null +++ b/roboflow-trained-dataset/test/01070516_JPG_jpg.rf.1f55a184c547455f0eef872220db197b.jpg @@ -0,0 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