Official image can be downloaded from Kaggle challenge or just downloaded from my repository. Dataset Preparation After downloading images from Kaggle challenge, we expect the data directory is structured as: data +- training_data # all training data from kaggle ∣- 000001.jpg ∣- 000002.jpg ∣...
Kaggle Dataset: https://www.kaggle.com/hellbuoy/car-price-prediction General Description: For understanding pricing dynamics of the new market in the different cars for business growth, we will predict the car’s prices depending on different independent variables. Several factors, including mileage,...
Lecture 15 Testing Car Speed Detection System Section 14: Image Processing Using OpenCV Lecture 16 Image Processing Using OpenCV Section 15: Finding & Downloading Parking Lot Dataset From Kaggle Lecture 17 Finding & Downloading Parking Lot Dataset From Kaggle Section 16: Extracting Parking Spot Coordina...
45image_channels:int=3 # 输出掩码中的声道数。1用于二进制掩码。 47mask_channels:int=1 # 批量大小 50batch_size:int=1 # 学习率 52learning_rate:float=2.5e-4 # 训练周期的数量 55epochs:int=4 # 数据集 58dataset:CarvanaDataset # 数据加载器 ...
This dataset contains a large number of car images, with each car taken from different angles. In addition, for each car image, we have an associated manually cutout mask; our task will be to automatically create these cutout masks for unseen data. - mah
Link to the dataset: Kaggle Second-Hand Car Prices DatasetInstallationTo run the project locally, follow these steps:Clone this repository: git clone https://github.com/your-username/second-hand-car-price-prediction.git Install the required dependencies: pip install -r requirements.txt ...
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About Dataset This data is collected from 'Car Dekho'. Following details of cars are included in the dataset: 1) Car name 2) Year 3) Selling Price 4) Kms driven 5) Fuel 6) Seller type 7) Transmission 8) Owner Usability info
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