segmentation and detection Image Dataset
Versions
2023-05-13 6:43pm
v9
· a year ago
2023-05-12 2:50pm
v8
· a year ago
2023-05-12 9:28am
v7
· a year ago
2023-05-12 9:20am
v6
· a year ago
2023-04-07 9:33am
v5
· a year ago
2023-03-09 11:13am
v4
· a year ago
2023-02-07 11:10am
v3
· a year ago
2023-01-25 1:53pm
v2
· a year ago
2023-01-22 11:01pm
v1
· a year ago
v3
2023-02-07 11:10am
Generated on Feb 7, 2023
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.
485 Total Images
View All Images
Dataset Split
Train Set 87%
423Images
Valid Set 8%
40Images
Test Set 5%
22Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
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