Fridge Item Detection
$10000-20000 USD
Pagado a la entrega
We are looking to build a solution around food utilization using item detection inside the Fridge.
Basic guidelines while data collection are explained below:
Source: 2 megapixels or above/1080p phone camera or DSC.
(4-5)ft distance between cloth and camera, Fridge door needs to be open.
5000 images with below objects mentioned
Objects which we are interested in:
1. Bottle
2. Food Container:
a. Box
b. Oval
c. Plastic
d. glass
e. S. Steel utensils
3. Vegetables/Fruits
4. Beverages
a. Real / paperboat
b. Tetrapacks
5. Yogurt/Curd
a. Tetrapacks
b. Plastic containers for flavoured containers
6. Vegetable compartment images
a. Single door
b. Double door
7. Frozen food
a. Packaged foods like green peas, corn, Meat
b. Ice cream,cones,box
Need annotations in COCO / Pascal VOC format.
We need images which are not hosted on web with specification as mentioned above.
Expected Deadlines
• 1-2 weeks for sample Data (5 images with annotations to validate image and annotation quality).
4-6 Weeks for whole dataset
Fridge Image collection and Annotation bounding box. Vendors need to source the image 5000 and also need the annotation .
Pricing Second case- Kindly share the Pricing for image sourcing with annotation as per image there will be 6 to 8 bounding box needs to be created.
Nº del proyecto: #29452896
