Gather Drones Photo for ai model training
128 USDThe goal of this project is to develop an autonomous defence turret designed to protect from FPV (First Person View) drone attacks.
To enable accurate threat detection, we are currently focused on collecting a comprehensive dataset of FPV drone images for training a YOLO object detection model. Images of all types of FPV drones are valuable and welcome for inclusion in the dataset.
This dataset will be used to support the development and demonstration of a prototype version of the turret system.
Task Description:
Your task is to collect at least 5000 real images of FPV (First-Person View) drones in different environments, lighting conditions, and angles.
Image Requirements:
Image Type: Real photos or real-life stills extracted from videos (no 3D renders or synthetic data)
Minimum Resolution: At least 640×640 pixels (higher is better)
Format: Preferably .jpg or .png
Content:
FPV drones visible clearly (not partially obscured)
Various angles: front, side, top, diagonal
Diverse backgrounds and environments (urban, rural, forest, battlefield, etc.)
Drones in flight, launching, or hovering
Preferred Sources:
YouTube videos with FPV drones
Combat footage, drone POV videos, or social media posts with visible drones
News footage or military analysis videos showing real FPV drones
Deliverables:
A folder with 5000 unique images
Filenames should be unique
All images should meet resolution and realism criteria
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25 days406 USD
81 25 days406 USDHello, may I inquire about the accuracy requirements regarding quality and resolution:
Is it possible to use images with a resolution higher than 640×640? Is there an upper limit?
Is there a minimum quality level required (without noise, blurring)?
2. Copyrights and licenses:
Is it necessary to confirm that the images do not violate copyright?
…
Can screenshots from YouTube videos or social media be used while respecting copyright?
3. Data format and structure:
Is it necessary to provide metadata (e.g., date, source, scene description)?
Is there a preferred filename format?
Should images be grouped by categories (by drone type, shooting conditions, etc.)?
4. Selection and verification of images:
Who will verify that images meet the requirements?
Is it necessary to independently filter out low-quality photos or partially hidden drones?
5. Additional requirements:
Are annotations or markup needed (e.g., bounding boxes for training the model)?
Can photos with drones against backgrounds of other objects be added, or only drones on a plain background?
What is the deadline for collecting all 5000 images? Is it necessary to submit interim results?
What is the format and method of data transfer (cloud storage, FTP, etc.)?
How quickly will feedback or approval of interim results be provided?
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3 days41 USD3 days41 USD
Hello Rostuslav,
I’m Владислав, and I specialize in high-quality image gathering. I’ll efficiently collect 5000 real images of FPV drones in diverse conditions, ensuring they meet your requirements for training your YOLO model. With my experience in video editing and design, I can extract stills from various sources, compiling a unique dataset that accurately reflects different scenarios. Let's collaborate to enhance your turret's development!
Best regards,
Владислав
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Доброго дня, чи можемо ми все обсудити у телеграм?
@stetasi
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Доброго дня. З одного видео скількі можна робити картинок?
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