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1
Name* This field is required.
First Name
Last Name
2
Email* This field is required.
example@example.com
3
Company Name* This field is required.
4
Industry* This field is required.
Agriculture
Food & Beverage
Energy
Manufacturing
Logistics
Safety, Surveillance, Security
Defense
Construction
Healthcare
Mobility
Retail
Media, Sports, Entertainment
Smart Cities
Other
5
What is your current professional status?* This field is required.
CEO
Solution Architect
CTO
Data Scientist
Product Manager (ML Projects)
ML Engineer
ML or Data Science team manager
Data Engineer
Student
Other
6
What Deep Learning frameworks do you use?* This field is required.
Pytorch
Tensorflow
Keras
Jax
Nvidia TAO
MXNet
PaddlePaddle
Other
7
What is the size of your ML Team?* This field is required.
1-5
6-10
11-15
> 16
8
Which development environment do you use?* This field is required.
AWS
Google Cloud (GCP)
Azure
Jetson/Edge Devices
Local Hardware
Other
9
What do you use to store training data?* This field is required.
S3 bucket
Azure Blob
Cloud instance volume (e.g. EC2, GCE, Azure)
Local HDD
Other
10
Which input modalities do you use?
Single image
Multiple images
Image & other (e.g. text, audio, metadata)
Other
11
What are the dimensions of your input images?* This field is required.
2D
3D
4D (video)
12
What is your input data type?* This field is required.
png, jpeg, jpg
dicom
mp4
tf-records
tf.DataSet
torch.Dataset
Other
13
What is your computer vision task?* This field is required.
Classification
Regression
Object Detection
Segmentation
Key points (face, pose, etc)
3D (cuboid estimation, point clouds)
Super-resolution
Other
14
How many models do you usually train / build / prototype in a month?* This field is required.
1-5
6 - 10
11 - 20
> 20
15
What is your dataset size?* This field is required.
1 - 10,000
10,001 - 50,000
50,001 - 100,000
100,001 - 1M
> 1M
16
If greater than 1M, what is your dataset size?
1M - 5M
6M - 10M
11M - 20M
>20M
17
Who in your team decides which tools to use for your project?* This field is required.
It is a Team Decision
ML Engineers and Data Scientists
Team Manager
Cloud Architect
Other
18
What are the Top 3 outcomes you are looking to achieve with the Tenyks Failure Analysis Platform?* This field is required.
Huge
Large
Normal
Small
Ok
Ok
19
What is the model performance gap you aim to improve?* This field is required.For example 5% mAP or 0.05 AUC
20
Which ML tools do you currently use?* This field is required.For example V7Labs, Weights & Biases, etc.
Huge
Large
Normal
Small
Ok
Ok
21
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