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projet-gp/9 (latest)
Versions
2023-06-03 3:52pm
v9
·
2 years ago
2023-06-03 3:47pm
v8
·
2 years ago
2023-05-20 5:49am
v7
·
2 years ago
2023-05-11 3:40pm
v6
·
2 years ago
2023-05-01 9:42pm
v5
·
2 years ago
2023-05-01 9:27pm
v4
·
2 years ago
2023-05-01 9:06pm
v3
·
2 years ago
2023-04-25 12:31pm
v2
·
2 years ago
2023-04-25 12:31pm
v1
·
2 years ago
v4
2023-05-01 9:27pm
Generated on
May 1, 2023
Popular Download Formats
YOLOv11
TXT
annotations and YAML config used with YOLOv11.
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.
5798 Total Images
View All Images
Dataset Split
Train
Set
88%
5097Images
Valid
Set
8%
464Images
Test
Set
4%
237Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Grayscale:
Apply to 25% of images
Brightness:
Between -25% and +25%
Noise:
Up to 8% of pixels
