Test Image Dataset
Versions
2024-06-18 4:05am
v9
· 13 days ago
2024-06-14 5:51pm
v8
· 16 days ago
2024-06-13 6:18pm
v7
· 17 days ago
2024-06-13 5:38pm
v6
· 17 days ago
2024-06-11 10:47am
v5
· 19 days ago
2024-06-10 9:10pm
v4
· 20 days ago
2024-06-10 4:12pm
v3
· 20 days ago
2024-06-10 1:38pm
v2
· 20 days ago
2024-06-10 1:20pm
v1
· 20 days ago
v3
2024-06-10 4:12pm
Generated on Jun 10, 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.
75 Total Images
View All Images
Dataset Split
Train Set 88%
66Images
Valid Set 8%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
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