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lacrosse-object-detection/README.dataset.txt

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+# lacrosse-object-detection-uxkt > 2025-03-13 9:49am
+https://universe.roboflow.com/rf-100-vl/lacrosse-object-detection-uxkt-vaybh
+
+Provided by a Roboflow user
+License: MIT
+
+# Overview
+
+- [Introduction](#introduction)
+- [Object Classes](#object-classes)
+  - [Goalie](#goalie)
+  - [Longpole](#longpole)
+  - [Referee](#referee)
+  - [Shortstick](#shortstick)
+
+# Introduction
+
+This dataset focuses on object detection in the sport of lacrosse. The goal is to accurately identify and annotate specific roles and equipment within the game. The classes include:
+
+- **Goalie**: The player responsible for preventing the ball from entering the goal.
+- **Longpole**: A player or item with a longer stick used primarily by defenders.
+- **Referee**: The official who oversees the game and enforces the rules.
+- **Shortstick**: A player or item with a shorter stick used primarily by offensive players.
+
+# Object Classes
+
+## Goalie
+
+### Description
+
+The goalie is typically positioned near the goal and wears protective gear, including a helmet and pads. This class is characterized by the proximity to the goal and the specific protective stance typical of a goalie. The goalie's stick typically has a wide round net.
+
+### Instructions
+
+- Annotate the area encompassing the whole individual, including the head, body, and any distinguishable goalie gear.
+- Ensure the bounding box includes the player when they are in a typical guarding stance or engaged in a save attempt.
+- Exclude any part of the goal structure or other players if they intersect with the goalie's space.
+
+## Longpole
+
+### Description
+
+The longpole is identified by the player holding a visibly longer stick, which is used mainly in defensive roles. The stick length distinguishes this class from others.
+
+### Instructions
+
+- Annotate the whole player, centering on capturing the distinctively long stick.
+- Include the full length of the pole to differentiate from a shortstick.
+- Avoid labeling any players with short sticks or those without a visible long stick.
+
+## Referee
+
+### Description
+
+Referees wear distinct uniforms typically featuring a black and white striped or yellow shirt and are easily recognizable by their positioning and activity on the field.
+
+### Instructions
+
+- Annotate the entire person, ensuring the bounding box includes the typical uniform and observable refereeing gestures.
+- Capture the referee when they are in clear view, making calls, or moving to oversee the play.
+- Do not include players or any goalies, only the referee in uniform.
+
+## Shortstick
+
+### Description
+
+The shortstick pertains to players or equipment with a shorter stick used mainly by attackers and midfielders. These sticks are notably shorter than longpoles.
+
+### Instructions
+
+- Annotate the full player, ensuring the stick's length falls into the shorter category.
+- Disambiguate from longpoles by focusing on the visibly shorter stick even when held at different angles.
+- Exclude any players that appear with a long stick or those obstructed such that stick length is undetermined.

lacrosse-object-detection/README.roboflow.txt

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+
+lacrosse-object-detection-uxkt - v1 2025-03-13 9:49am
+==============================
+
+This dataset was exported via roboflow.com on March 14, 2025 at 4:08 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 500 images.
+Lacrosse-object-detection-uxkt-uxkt are annotated in COCO format.
+
+The following pre-processing was applied to each image:
+
+No image augmentation techniques were applied.
+
+

lacrosse-object-detection/test/_annotations.coco.json

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