PROJET S9 Image Dataset
Versions
2022-12-15 12:00pm
v10
Dec 15, 2022
2022-12-15 11:54am
v9
Dec 15, 2022
2022-12-15 9:01am
v8
Dec 15, 2022
2022-12-15 8:54am
v7
Dec 15, 2022
2022-12-15 8:41am
v6
Dec 15, 2022
2022-12-15 8:38am
v5
Dec 15, 2022
2022-12-13 5:24pm
v4
Dec 13, 2022
2022-12-02 4:19pm
v3
Dec 2, 2022
2022-12-02 2:20pm
v2
Dec 2, 2022
2022-12-02 2:19pm
v1
Dec 2, 2022
v10
2022-12-15 12:00pm
Generated on Dec 15, 2022
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.
6679 Total Images
View All Images
Dataset Split
Train Set 83%
5548Images
Valid Set 0%
8Images
Test Set 17%
1123Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
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