Dataset Versions
Versions
2023-05-27 5:47pm
v17
· 2 years ago
2023-05-27 5:42pm
v16
· 2 years ago
Augmented - chevy_yt
v15
· 2 years ago
Augmented - aauto_pc_cam
v13
· 2 years ago
Not augmented - aauto_pc_cam
v11
· 2 years ago
Not Augmented - yt_video
v10
· 2 years ago
Augmented - yt_video
v9
· 2 years ago
Not Augmented - aauto_pc
v8
· 2 years ago
Augmented - aauto_pc
v7
· 2 years ago
Not Augmented
v6
· 2 years ago
Augmented - Dark
v5
· 2 years ago
Not Augmented
v4
· 2 years ago
Augmented - Bright and Dark
v3
· 2 years ago
v3
Augmented - Bright and Dark
Generated on May 19, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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.
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1745 Total Images
View All Images
Dataset Split
Train Set 88%
1527Images
Valid Set 8%
145Images
Test Set 4%
73Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 6% Maximum Zoom
Rotation: Between -2° and +2°
Shear: ±2° Horizontal, ±2° Vertical
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 0.75px