product-tagging-inst-seg Image Dataset
Versions!
640 X 640
v13
· 8 days ago
4079
640 X 640
v12
· 13 days ago
4152
640x640
Fill (with center crop) in
640 X 640
v11
· 22 days ago
3969
640x640
Fill (with center crop) in
640 X 640
v10
· 22 days ago
3985
640x640
Fill (with center crop) in
640 X 640
v9
· 23 days ago
3989
640x640
Fill (with center crop) in
640 X 640
v8
· 23 days ago
3833
640x640
Fill (with center crop) in
2024-06-03 12:17pm
v7
· 24 days ago
3376
version 6
v6
· a month ago
2627
160x160
Stretch to
Version 5
v5
· a month ago
2402
160x160
Stretch to
Version 4 rebalanced set
v4
· a month ago
1991
160x160
Stretch to
v13
640 X 640
Generated on Jun 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.
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4079 Total Images
View All Images
Dataset Split
Train Set 88%
3606Images
Valid Set 8%
317Images
Test Set 4%
156Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
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