Objects Lab Image Dataset
Versions
2023-10-01 7:15pm
v12
Oct 1, 2023
2023-06-09 4:19pm
v11
Jun 9, 2023
2023-04-04 11:38am
v10
Apr 4, 2023
2023-04-04 1:11am
v9
Apr 4, 2023
2023-04-03 9:12pm
v8
Apr 4, 2023
2023-04-03 7:21pm
v7
Apr 3, 2023
2023-04-03 6:37pm
v6
Apr 3, 2023
2023-04-03 4:18pm
v5
Apr 3, 2023
2023-04-03 4:14pm
v4
Apr 3, 2023
v4
2023-04-03 4:14pm
Generated on Apr 3, 2023
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.
10776 Total Images
View All Images
Dataset Split
Train Set 88%
9429Images
Valid Set 8%
894Images
Test Set 4%
453Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
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