car-human detection Image Dataset
Versions
2023-04-25 5:06pm
v9
· a year ago
2023-04-24 2:14am
v8
· a year ago
2023-04-23 2:33pm
v7
· a year ago
2023-04-21 1:25am
v6
· a year ago
2023-04-19 9:42pm
v5
· a year ago
2023-04-07 5:47pm
v4
· a year ago
2023-03-08 2:54pm
v3
· a year ago
2023-03-07 5:01pm
v2
· a year ago
2023-03-07 2:14am
v1
· a year ago
v7
2023-04-23 2:33pm
Generated on Apr 23, 2023
Popular Download Formats
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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5358 Total Images
View All Images
Dataset Split
Train Set 82%
4374Images
Valid Set 12%
641Images
Test Set 6%
343Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Grayscale: Apply to 40% of images
Blur: Up to 1.25px
Noise: Up to 10% of pixels
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