Probowki 2 Image Dataset
Versions
2024-01-03 9:26pm
v17
Jan 3, 2024
2024-01-03 11:26am
v15
Jan 3, 2024
2024-01-02 2:13pm
v13
Jan 2, 2024
2024-01-02 9:23am
v12
Jan 2, 2024
topka_danych_do_dodania_nowe
v8
Dec 19, 2023
fixed
v7
Dec 19, 2023
2023-12-18 11:44am
v6
Dec 18, 2023
2023-11-27 6:39pm
v5
Nov 27, 2023
2023-11-27 5:38pm
v3
Nov 27, 2023
2023-11-24 2:26pm
v2
Nov 24, 2023
2023-11-23 4:05am
v1
Nov 23, 2023
v13
2024-01-02 2:13pm
Generated on Jan 2, 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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1657 Total Images
View All Images
Dataset Split
Train Set 100%
1656Images
Valid Set %
0Images
Test Set 0%
1Images
Preprocessing
Resize: Fit within 600x600
Augmentations
Outputs per training example: 3
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 2.99% of pixels
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