Fruit Detection - Bounding Box Image Dataset
Versions
2023-09-05 12:01am
v10
Sep 4, 2023
2023-09-04 9:33pm
v9
Sep 4, 2023
2023-09-03 4:39pm
v8
Sep 3, 2023
2023-09-02 11:33pm
v7
Sep 2, 2023
2023-09-02 10:39pm
v6
Sep 2, 2023
2023-08-27 9:34pm
v5
Aug 27, 2023
2023-08-27 6:54pm
v4
Aug 27, 2023
2023-08-25 11:50am
v3
Aug 24, 2023
2023-08-15 5:13pm
v2
Aug 15, 2023
2023-08-15 5:11pm
v1
Aug 15, 2023
v10
2023-09-05 12:01am
Generated on Sep 4, 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.
360 Total Images
View All Images
Dataset Split
Train Set 83%
300Images
Valid Set 8%
30Images
Test Set 8%
30Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Saturation: Between -3% and +3%
Brightness: Between -5% and +5%
Exposure: Between -3% and +3%
Blur: Up to 1px
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