YOLOV7 Dataset

Versions
2022-08-07 11:40pm
v11
·
2 years ago
2022-08-05 4:33pm
v10
·
2 years ago
2022-08-03 6:47pm
v9
·
2 years ago
2022-08-02 9:08pm
v8
·
2 years ago
2022-08-02 7:02pm
v7
·
2 years ago
2022-07-25 11:22am
v6
·
2 years ago
2022-07-21 5:15pm
v5
·
2 years ago
2022-07-21 4:45pm
v4
·
2 years ago
2022-07-21 4:36pm
v3
·
2 years ago
2022-07-19 5:33pm
v2
·
2 years ago
2022-07-13 11:28pm
v1
·
2 years ago
v9

2022-08-03 6:47pm

Generated on Aug 3, 2022
Download Dataset

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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.

900 Total Images

View All Images
Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 89%
798Images
Valid Set 8%
73Images
Test Set 3%
29Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 6 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels