Target Detection Image Dataset
Versions
WithTargets
v9
May 6, 2023
2023-05-06 11:18am
v8
May 6, 2023
2023-05-06 10:40am
v7
May 6, 2023
2023-05-06 10:37am
v6
May 6, 2023
FullWithoutAugmentations
v5
May 6, 2023
2023-04-30 2:39pm
v4
Apr 30, 2023
2023-04-30 2:27pm
v3
Apr 30, 2023
2023-04-21 12:17pm
v2
Apr 21, 2023
2023-04-21 12:12pm
v1
Apr 21, 2023
v9
WithTargets
Generated on May 6, 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.
Other Formats
Choose another format.
60 Total Images
View All Images
Dataset Split
Train Set 90%
54Images
Valid Set 8%
5Images
Test Set 2%
1Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
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