Yolov5 Traffic Light dataset

Edit Project

Yolov5_CarDataset

Object Detection

Yolov5_CarDataset Image Dataset

Try Pre-Trained Model
Versions
2023-01-31 7:58pm
v7
·
a year ago
2023-01-31 2:04pm
v6
·
a year ago
2023-01-30 4:05pm
v5
·
a year ago
2023-01-30 1:21am
v4
·
a year ago
2023-01-25 4:35pm
v3
·
a year ago
2023-01-21 9:18pm
v2
·
a year ago
2023-01-20 11:54am
v1
·
a year ago
v6

2023-01-31 2:04pm

Generated on Jan 31, 2023
Download Dataset

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

2948 Total Images

View All Images
Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 89%
2637Images
Valid Set 6%
181Images
Test Set 4%
130Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±17° Horizontal, ±15° Vertical
Saturation: Between -46% and +46%
Noise: Up to 14% of pixels