Osos_Prototype1 Image Dataset
Versions
Treceava version
v13
· 7 months ago
Doceava version
v12
· a year ago
Onceava Version
v11
· a year ago
Decima Version
v10
· a year ago
Novena Version
v9
· a year ago
Octava Version
v8
· a year ago
Septima Version
v7
· a year ago
Sexta version
v6
· a year ago
Quinta Version
v5
· a year ago
Cuarta version
v4
· a year ago
Tercera version
v3
· a year ago
Segunda Version
v2
· a year ago
Primera version
v1
· a year ago
v7
Septima Version
Generated on Jun 11, 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.
1597 Total Images
View All Images
Dataset Split
Train Set 75%
1197Images
Valid Set 15%
240Images
Test Set 10%
160Images
Preprocessing
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -59% and +59%
Blur: Up to 1.75px
Bounding Box: Flip: Horizontal
Bounding Box: Noise: Up to 5% of pixels
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