xnly.iodetct Dataset
Versions
2024-02-19 8:52am
v9
· 7 months ago
2024-02-18 2:07pm
v8
· 7 months ago
2024-02-18 1:57pm
v7
· 7 months ago
2024-02-11 7:53pm
v6
· 7 months ago
2024-02-11 7:41pm
v5
· 7 months ago
2024-02-11 7:38pm
v4
· 7 months ago
2024-02-10 12:31pm
v3
· 7 months ago
2024-02-09 8:20pm
v2
· 8 months ago
2024-02-09 4:27pm
v1
· 8 months ago
v9
2024-02-19 8:52am
Generated on Feb 19, 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.
1345 Total Images
View All Images
Dataset Split
Train Set 84%
1125Images
Valid Set 8%
110Images
Test Set 8%
110Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±12° Vertical
Grayscale: Apply to 22% of images
Hue: Between -21° and +21°
Saturation: Between -33% and +33%
Brightness: Between -21% and +21%
Exposure: Between -14% and +14%
Blur: Up to 4.3px
Noise: Up to 1.29% of pixels