product detection Image Dataset
Versions
mix
v20
May 10, 2024
61_ver6
v19
May 6, 2024
61_ver5
v18
May 6, 2024
61_ver4
v16
May 6, 2024
61_ver3
v15
May 6, 2024
61_ver2
v14
May 6, 2024
61_ver1
v13
May 6, 2024
v8
v12
Apr 17, 2024
v6
v8
Apr 17, 2024
v5
v7
Apr 16, 2024
v4
v6
Apr 16, 2024
v3
v5
Apr 16, 2024
v1
v3
Apr 16, 2024
augment
v2
Mar 19, 2024
v12
v8
Generated on Apr 17, 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.
3050 Total Images
View All ImagesDataset Split
Train Set 89%
2700Images
Valid Set 8%
250Images
Test Set 3%
100Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 1.2px
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