SPPE_3 Image Dataset
Versions
2024-04-07 12:04pm
v14
Apr 7, 2024
2024-03-29 12:05pm
v13
Mar 29, 2024
2024-03-28 8:57pm
v12
Mar 28, 2024
2024-03-28 8:52pm
v11
Mar 28, 2024
2024-03-28 7:16pm
v10
Mar 28, 2024
2024-02-18 10:15am
v9
Feb 18, 2024
YOLOv8m_2024-02-17 11-10am
v8
Feb 17, 2024
YOLOv8n_2024-02-16 5-37pm
v7
Feb 16, 2024
2024-02-11 10:26pm
v5
Feb 11, 2024
2024-02-11 7-01pm
v4
Feb 11, 2024
2024-01-24 4:29pm
v1
Jan 24, 2024
v10
2024-03-28 7:16pm
Generated on Mar 28, 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.
Other Formats
Choose another format.
9178 Total Images
View All Images
Dataset Split
Train Set 90%
8235Images
Valid Set 6%
562Images
Test Set 4%
381Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
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