Formats
RetinaNet Keras CSV
Object Detection
IMPORTEXPORT
FEATURED
Object Detection

RetinaNet Keras CSV

A custom format used by the Keras implementation of RetinaNet.

Overview

RetinaNet Keras uses its own annotation format where all the annotations are in a single file. Each line represents one bounding box.

Writing a script to convert your data to try one specific model can be time consuming and error-prone. Why waste the time when you can just use Roboflow to convert your data for you?

Format Description

Below, learn the structure of RetinaNet Keras CSV.

retinanet.keras.csv
0001.jpg,2694,1211,353,353,helmet
0001.jpg,1754,1449,68,68,person
0002.jpg,113,95,226,226,helmet
0003.jpg,352,114,151,151,helmet
0003.jpg,799,217,139,139,person
0004.jpg,162,126,124,124,helmet

Split and Merge Datasets

With Roboflow supervision, an open source Python package with utilities for completing computer vision tasks, you can merge and split detections in RetinaNet Keras CSV. Read our dedicated guides to learn how to merge and split RetinaNet Keras CSV detections.

Split detections in RetinaNet Keras CSV

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Merge detections in RetinaNet Keras CSV

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Supported Models

Below, see model architectures that require data in the RetinaNet Keras CSV format when training a new model.

On each page below, you can find links to our guides that show how to plot predictions from the model, and complete other common tasks like detecting small objects with the model.

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Convert Data from RetinaNet Keras CSV

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Formats
RetinaNet Keras CSV

What is RetinaNet Keras CSV?

RetinaNet Keras uses its own annotation format where all the annotations are in a single file. Each line represents one bounding box.

Writing a script to convert your data to try one specific model can be time consuming and error-prone. Why waste the time when you can just use Roboflow to convert your data for you?

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RetinaNet Keras CSV

Below, we show how to convert data to and from

RetinaNet Keras CSV

. We also list popular models that use the

RetinaNet Keras CSV

data format. Our conversion tools are free to use.

CONVERT To
CONVERT From
EXAMPLE

Convert Data to RetinaNet Keras CSV

Use Roboflow to convert
RetinaNet Keras CSV
to the following formats.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get a solution with:
‍

Free data conversion

SOC II Type 2 Compliant

Trusted by 250,000+ developers

RetinaNet Keras CSV
 to 
PaliGemma JSONL
RetinaNet Keras CSV
 to 
YOLOv10 PyTorch TXT
RetinaNet Keras CSV
 to 
YOLOv9 PyTorch TXT
RetinaNet Keras CSV
 to 
Florence-2
RetinaNet Keras CSV
 to 
YOLOv11 PyTorch TXT
RetinaNet Keras CSV
 to 
OpenAI GPT-4o Object Detection JSONL
RetinaNet Keras CSV
 to 
COCO Run-Length Encoding (RLE)
RetinaNet Keras CSV
 to 
YOLOv8 PyTorch TXT
RetinaNet Keras CSV
 to 
YOLOv8 Oriented Bounding Boxes
RetinaNet Keras CSV
 to 
Pascal VOC XML
RetinaNet Keras CSV
 to 
COCO JSON
RetinaNet Keras CSV
 to 
Tensorflow TFRecord
RetinaNet Keras CSV
 to 
YOLO Darknet TXT
RetinaNet Keras CSV
 to 
CreateML JSON
RetinaNet Keras CSV
 to 
YOLOv7 PyTorch TXT
RetinaNet Keras CSV
 to 
YOLOv5 PyTorch TXT
RetinaNet Keras CSV
 to 
Sagemaker GroundTruth Manifest
RetinaNet Keras CSV
 to 
Google Cloud AutoML Vision CSV
RetinaNet Keras CSV
 to 
meituan/yolov6
RetinaNet Keras CSV
 to 
Scaled-YOLOv4 TXT
RetinaNet Keras CSV
 to 
YOLO Keras TXT
RetinaNet Keras CSV
 to 
OpenAI CLIP Classification
RetinaNet Keras CSV
 to 
Tensorflow Object Detection CSV
RetinaNet Keras CSV
 to 
Multiclass Classification CSV
RetinaNet Keras CSV
 to 
YOLOv4 PyTorch TXT
RetinaNet Keras CSV
 to 
YOLOv5 Oriented Bounding Boxes

Convert Data from RetinaNet Keras CSV

Use Roboflow to convert the following formats to
RetinaNet Keras CSV
format.

Roboflow is a trusted solution for converting and managing your data. Today, over 250,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

With Roboflow, you get:
‍

Free data conversion

SOC II Type 1 Compliant

Trusted by 250,000+ developers

YOLOv8 PyTorch TXT
to
RetinaNet Keras CSV
COCO JSON
to
RetinaNet Keras CSV
Pascal VOC XML
to
RetinaNet Keras CSV
CreateML JSON
to
RetinaNet Keras CSV
YOLO Darknet TXT
to
RetinaNet Keras CSV
Google Cloud AutoML Vision CSV
to
RetinaNet Keras CSV
SuperAnnotate JSON
to
RetinaNet Keras CSV
LabelMe JSON
to
RetinaNet Keras CSV
Sagemaker GroundTruth Manifest
to
RetinaNet Keras CSV
Supervisely JSON
to
RetinaNet Keras CSV
LabelBox JSON
to
RetinaNet Keras CSV
Scale AI JSON
to
RetinaNet Keras CSV
VGG Image Annotator JSON
to
RetinaNet Keras CSV
VGG Image Annotator CSV
to
RetinaNet Keras CSV
VoTT CSV
to
RetinaNet Keras CSV
VoTT JSON
to
RetinaNet Keras CSV
LabelBox Video JSON
to
RetinaNet Keras CSV
IBM Cloud Annotations JSON
to
RetinaNet Keras CSV
Unity Perception JSON
to
RetinaNet Keras CSV
OIDv4 TXT
to
RetinaNet Keras CSV
YOLO Keras TXT
to
RetinaNet Keras CSV
OpenImages CSV
to
RetinaNet Keras CSV
Tensorflow Object Detection CSV
to
RetinaNet Keras CSV
Multiclass Classification CSV
to
RetinaNet Keras CSV
Cogniac
to
RetinaNet Keras CSV
Kaggle Wheat CSV
to
RetinaNet Keras CSV
Marmot XML
to
RetinaNet Keras CSV
Udacity TXT
to
RetinaNet Keras CSV
Roboflow is a trusted solution for converting and managing your data. Today, over 100,000 datasets are managed on Roboflow, comprised of 100 million labeled and annotated images.

Once your data is in Roboflow, just add the link from your dataset and you're ready to go. We even include the code to export to common inference formats like TFLite, ONNX, and CoreML.

Below are pre-configured models that use the
RetinaNet Keras CSV
data format
.

What computer vision models use RetinaNet Keras CSV?

The

No items found.

models all use the

RetinaNet Keras CSV

data format.

We don't currently have models that use this annotation format.
To see our entire list of computer vision models, check out the Roboflow Model Library.
retinanet.keras.csv
0001.jpg,2694,1211,353,353,helmet
0001.jpg,1754,1449,68,68,person
0002.jpg,113,95,226,226,helmet
0003.jpg,352,114,151,151,helmet
0003.jpg,799,217,139,139,person
0004.jpg,162,126,124,124,helmet
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