Storage Crates Collection 2 Image Dataset
Versions
2024-02-15 11:53am
v15
Feb 15, 2024
2024-02-10 1:32pm
v14
Feb 10, 2024
2024-02-08 2:23pm
v13
Feb 8, 2024
2023-12-09 8:55am
v12
Dec 9, 2023
2023-12-08 1:20pm
v11
Dec 8, 2023
2023-04-25 9:33am
v10
Apr 25, 2023
2023-04-25 9:11am
v9
Apr 25, 2023
2023-03-08 10:52am
v8
Mar 8, 2023
2023-02-17 1:26pm
v7
Feb 17, 2023
2023-02-16 2:22pm
v6
Feb 16, 2023
2022-12-01 3:41pm
v5
Dec 1, 2022
2022-12-01 9:01am
v4
Dec 1, 2022
2022-11-21 2:37pm
v3
Nov 21, 2022
2022-10-31 9:05am
v2
Oct 31, 2022
2022-10-29 12:52pm
v1
Oct 29, 2022
v14
2024-02-10 1:32pm
Generated on Feb 10, 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.
5585 Total Images
View All Images
Dataset Split
Train Set 87%
4884Images
Valid Set 9%
481Images
Test Set 4%
220Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 160x160
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 80% of images to contain annotations.
Augmentations
Outputs per training example: 3
Shear: ±3° Horizontal, ±0° Vertical
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 2 boxes with 12% size each
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