Toy Cars Detection Image Dataset
Versions
2024-01-10 11:03pm
v10
Jan 10, 2024
2024-01-10 10:24am
v9
Jan 10, 2024
2023-12-30 11:28pm
v8
Dec 30, 2023
2023-12-30 4:37pm
v7
Dec 30, 2023
2023-12-30 1:21am
v6
Dec 29, 2023
2023-12-29 10:02pm
v5
Dec 29, 2023
2023-12-29 3:00pm
v4
Dec 29, 2023
2023-12-29 2:43pm
v3
Dec 29, 2023
2023-12-29 2:55am
v2
Dec 28, 2023
2023-12-28 9:47pm
v1
Dec 28, 2023
v10
2024-01-10 11:03pm
Generated on Jan 10, 2024
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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1343 Total Images
View All Images
Dataset Split
Train Set 88%
1179Images
Valid Set 8%
109Images
Test Set 4%
55Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Bounding Box: Flip: Horizontal
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