Datasets:
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---
dataset_info:
features:
- name: image_id
dtype: int64
- name: image
dtype: image
- name: image_width
dtype: int64
- name: image_height
dtype: int64
- name: objects
struct:
- name: bbox_id
sequence: int64
- name: category
sequence:
class_label:
names:
'0': vehicle
'1': truck
- name: bbox
sequence:
sequence: float32
length: 4
- name: area
sequence: float32
splits:
- name: train
num_bytes: 951705037.8
num_examples: 3650
- name: test
num_bytes: 38218268.0
num_examples: 162
download_size: 987020725
dataset_size: 989923305.8
license: apache-2.0
pretty_name: Highway vehicles - object detection
task_categories:
- object-detection
---
# Dataset Card for "highway-vehicles"
This dataset contains scenes from road cameras (mainly highway cameras)
with cars classified into vehicles (class 0), and trucks (class 1). Overall, it contains 3,812 scenes with 91,843 objects.
The detailed instructions are available at [GitHub Repo](https://github.com/CATT-Works/HighwayCameraDataset).
### Citations:
If you are using this dataset, consider citing the related paper:
`Placeholder for a paper, will appear as soon as it is published :>`
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