Dataset Versions
Versions
Cultary ISOLATED
v24
· 2 years ago
plates ISOLATED
v23
· 2 years ago
Glass leg ISOLATED
v22
· 2 years ago
Glass no leg ISOLATED
v21
· 2 years ago
Glasses no leg
v19
· 2 years ago
Glasses leg
v18
· 2 years ago
Cutlary
v17
· 2 years ago
Plates
v16
· 2 years ago
Dragon mother
v15
· 2 years ago
2023-06-01 10:33am
v11
· 2 years ago
2023-05-29 11:26am
v1
· 2 years ago
v19
Glasses no leg
Generated on Jun 2, 2023
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
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TXT annotations and YAML config used with YOLOv9.
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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.
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4005 Total Images
View All Images
Dataset Split
Train Set 87%
3504Images
Valid Set 8%
329Images
Test Set 4%
172Images
Preprocessing
Resize: Stretch to 640x640
Modify Classes: 64 remapped, 55 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels