diff --git a/ufba-425/README.dataset.txt b/ufba-425/README.dataset.txt
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+# ufba-425-asgxh-djrs > 2025-03-13 7:44am
+https://universe.roboflow.com/rf-100-vl/ufba-425-asgxh-djrs
+
+Provided by a Roboflow user
+License: MIT
+
+
+# Overview
+- [Introduction](#introduction)
+- [Object Classes](#object-classes)
+  - [11](#class-11)
+  - [12](#class-12)
+  - [13](#class-13)
+  - [...]
+  - [48](#class-48)
+
+# Introduction
+The dataset is designed to address a specific object detection task featuring 32 distinct classes. Each class represents a unique type of object that can be identified and annotated in the provided images. The goal is to annotate these objects accurately with bounding boxes, taking into consideration their unique visual characteristics and the instructions for each class.
+
+# Object Classes
+
+## Class 11
+### Description
+The objects in class 11 are characterized by [distinctive visual features]. They have [describe shape, texture, or any notable characteristics].
+
+### Instructions
+- Identify objects of Class 11 by looking for distinct features such as [describe specific features like shape, texture, or color].
+- Draw bounding boxes tightly around the object, ensuring all parts are included without extending beyond its visible boundaries.
+- Do not annotate objects if their defining features are not visible, or if they are smaller than 10 pixels in height.
+
+## Class 12
+### Description
+This class includes [description of Class 12 objects and their distinctive visual features].
+
+### Instructions
+- Draw bounding boxes around objects where the main shape [describe distinctive visual features].
+- Exclude from annotation any objects where the class cannot be confidently identified due to poor visibility or excessive blurring.
+- If the object is only partially visible but identifiable, draw the box up to the image boundary.
+
+## Class 13
+### Description
+Objects in this class [description of Class 13 objects, including shapes, typical sizes, or distinguishing patterns].
+
+### Instructions
+- Encapsulate the entire object within the bounding box.
+- If the object has distinct parts, ensure all visible parts are included unless they are obstructed by other objects.
+- Do not annotate objects that are indiscernible due to poor lighting or heavy occlusion.
+
+(Continue with other classes using the same format...)
+
+## Class 48
+### Description
+This class is characterized by [description of Class 48 objects, with emphasis on unique features like texture, shape, and size]. 
+
+### Instructions
+- Outline the object as closely as possible, including any distinct features.
+- Avoid marking objects that are less than 10 pixels in height or less than 20% visible.
+- If occluded by another object, extend the bounding box to estimate the hidden part as accurately as possible.
+- Reflections of the object should not be annotated.
+
+[Top](#overview)
+
+To finalize these instructions, review the provided images for visual aids and specific features to identify and delineate each class. Adjust the detailed instructions sections accordingly to reflect specific visual features observed in the dataset.
\ No newline at end of file
diff --git a/ufba-425/README.roboflow.txt b/ufba-425/README.roboflow.txt
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+
+ufba-425-asgxh-djrs - v1 2025-03-13 7:44am
+==============================
+
+This dataset was exported via roboflow.com on March 14, 2025 at 6:10 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 572 images.
+Ufba-425-asgxh-djrs are annotated in COCO format.
+
+The following pre-processing was applied to each image:
+
+No image augmentation techniques were applied.
+
+
diff --git a/ufba-425/test/_annotations.coco.json b/ufba-425/test/_annotations.coco.json
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index 0000000000000000000000000000000000000000..46e5a569fb6f059b59dd634173968937d8ff4e6d
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+++ b/ufba-425/test/_annotations.coco.json
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+{"info": {"year": "2025", "version": "1", "description": "Exported from roboflow.com", "contributor": "", "url": "https://public.roboflow.com/object-detection/undefined", "date_created": "2025-03-14T06:10:22+00:00"}, "licenses": [{"id": 1, "url": "https://choosealicense.com/licenses/mit/", "name": "MIT"}], "categories": [{"id": 0, "name": "11", "supercategory": "ufba-425-asgxh-djrs"}, {"id": 1, "name": "12", "supercategory": "ufba-425-asgxh-djrs"}, {"id": 2, "name": "13", "supercategory": "ufba-425-asgxh-djrs"}, {"id": 3, "name": "14", "supercategory": "ufba-425-asgxh-djrs"}, {"id": 4, "name": "15", "supercategory": "ufba-425-asgxh-djrs"}, {"id": 5, "name": "16", "supercategory": "ufba-425-asgxh-djrs"}, {"id": 6, "name": "17", "supercategory": "ufba-425-asgxh-djrs"}, {"id": 7, "name": "18", "supercategory": "ufba-425-asgxh-djrs"}, {"id": 8, "name": "21", "supercategory": "ufba-425-asgxh-djrs"}, {"id": 9, "name": "22", "supercategory": "ufba-425-asgxh-djrs"}, {"id": 10, "name": "23", 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