Reward CR DATASET Image Dataset
Versions
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v9
Feb 26, 2024
Mid perfect zoom 250img
v8
Feb 26, 2024
2024-02-25 6:40pm
v7
Feb 25, 2024
2024-02-25 5:12pm
v6
Feb 25, 2024
2024-02-25 4:51pm
v5
Feb 25, 2024
2024-02-25 2:51pm
v4
Feb 25, 2024
2024-02-24 7:52pm
v3
Feb 24, 2024
2024-02-24 6:59pm
v2
Feb 24, 2024
2024-02-14 7:34pm
v1
Feb 14, 2024
v9
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Generated on Feb 26, 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.
247 Total Images
View All Images
Dataset Split
Train Set 87%
216Images
Valid Set 9%
22Images
Test Set 4%
9Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Brightness: Between -6% and +6%
Blur: Up to 1.1px
Noise: Up to 2% of pixels
Bounding Box: Noise: Up to 1% of pixels
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