48_32_19 Image Dataset
Versions
2024-06-04 9:29pm
v10
· a month ago
2024-06-04 9:27pm
v9
· a month ago
2024-06-04 9:23pm
v8
· a month ago
2024-05-28 8:19pm
v7
· a month ago
2024-05-28 3:27pm
v6
· a month ago
2024-05-22 4:16pm
v5
· a month ago
2024-05-22 1:47pm
v4
· a month ago
2024-05-22 1:24pm
v3
· a month ago
2024-05-20 8:37pm
v2
· a month ago
v10
2024-06-04 9:29pm
Generated on Jun 4, 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.
2578 Total Images
View All Images
Dataset Split
Train Set 80%
2058Images
Valid Set 10%
260Images
Test Set 10%
260Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Brightness: Between -30% and +30%
Exposure: Between -15% and +15%
Blur: Up to 8.1px
Noise: Up to 3.03% of pixels
Cutout: 10 boxes with 10% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
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